229 Cuda Jobs

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Description Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities: In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Requirements: Master’s/Bachelor’s degree in computer science or equivalent. 2-4 years of relevant work experience in software development. Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.) Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong in C/C++ programming, Design Patterns and OS concepts. Good scripting skills in Python. Excellent analytical and debugging skills. Good communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development and familiarity Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and languages like OpenCL and CUDA is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Senior Test Development Engineer The Role AMD is looking for a specialized software product engineer who is passionate about improving the quality of products and benchmarks . You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. The right engineer will drive the success of features in AMD (Advanced Micro Devices) products through leadership & coordination, resolution of technical dependencies, and achievement of schedule commits. The Person The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Your curiosity will drive your learning and innovation to improve how we as a group, and an organization, can get better every day. Your peers will provide you a results-oriented and encouraging environment for your career growth, fueling your opportunity to be a part of Delighting Our Customers. Key Responsibilities You will be responsible for the development of the test suites that ensure enterprise quality for AMD’s Software Compute stack You will work closely with other software and hardware engineers and architects Ensure test coverage for the GPU product features Review requirements and create associated test cases to ensure traceability Coordinate triaging of issues and drive them to closure Make tough decisions such as priority calls based on partial or incomplete data Proactively drive continuous improvement for functional and performance QA activities Must be a self-starter, and able to independently drive tasks to completion Preferred Experience Product development or systems engineering background with hardware platforms and their software & firmware ecosystems Test plan and test development experience for a range of industry workloads Strong knowledge of GPU, CPU, SoC or computer system architecture Knowledge of OpenCL or CUDA GPU Computing Languages a plus Proven record in large scale data center engineering Parallel Computing Skills with MPI Programing experience a plus Deep Learning, High Performance Computing or GPU Server Based computing a big plus Familiar with AI/ML concepts General Computer Architecture concepts Basics of programming Microsoft and Linux Operating Systems Cloud, Virtualization and Container environments System level, functional and environmental stress testing Excellent interpersonal, organizational, analytical, planning, and technical leadership skills Academic Credentials Bachelor’s or Master's degree in Computer/Electronics/Electrical Engineering or equivalent Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary Job Description Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Requirements Master’s/Bachelor’s degree in computer science or equivalent. 2-4 years of relevant work experience in software development. Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.) Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong in C/C++ programming, Design Patterns and OS concepts. Good scripting skills in Python. Excellent analytical and debugging skills. Good communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development and familiarity Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and languages like OpenCL and CUDA is a plus. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3075196 Show more Show less

About Us Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options. For more details, please visit www.paymentus.com Job Location: Gurugram Job Type: Permanent Interview process: Coding challenge >> Round 1 (Technical Webcam>> Managerial webcam round (Tech + Managerial) Join our team as an AI/ML Specialist and contribute to the delivery of cutting-edge capabilities by leveraging the latest technologies. In this role, you will collaborate closely with stakeholders and technical team members to drive impactful solutions. Requirements Minimum of 4 years of relevant experience in Data Science, Machine Learning, and AI techniques, with a strong background in open source technologies. Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering. Experience in creating basic RAG pipelines. Familiarity with cloud services such as AWS (EC2, S3, ECR). Expertise in at least one of the following areas: Time Series Analysis, Standard Machine Learning Algorithms, or Deep Learning. Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases. Area Of Expertise In-depth knowledge and hands-on experience with at least one object detection framework including TFOD, Detectron, and YOLO, operating within a large-scale distributed platform. Or, Solid understanding of Deep Learning fundamentals (CNN, RNN, attention/memory) and extensions (Transformer, LSTM, ResNet, etc.). Or, Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, ONNX, and open-source methods. Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment. on-making and the ability to justify actions effectively. Why Join Us? Empowerment to focus on pivotal tasks. Embrace a flexible and laid-back work atmosphere. Prioritize work-life balance. Appreciate collaborating with a goal-driven team. Interact with an approachable, supportive, and accomplished management team. Competitive compensation package. Engage with cutting-edge technologies as they emerge in the market. Witness the direct impact of your code on the lives of millions of customer. Show more Show less

Company: Mercer Description: About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role Senior Computer Vision Engineer Functional Area AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent.Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks.Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks.Test and refine models and systems based on real-world data and feedback.Evaluate project requirements, plan and manage the roadmap of a project.Present findings and insights in a clear and concise manner to stakeholders.Collaborate and help to integrate and deploy computer vision systems into broader product architecture.Conduct research to stay updated on emerging computer vision technologies and trends.Automate data preprocessing and annotation processes to streamline workflow efficiency.Maintain comprehensive documentation for algorithms, implementations, and evaluations.Mentor junior engineers and provide strategic guidance on project development. and skills: Proficiency in Python and knowledge of C++, Java and JS is plus.Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers.Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras.Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation.Experience in evaluating computer vision models using relevant metrics and performance indicators.Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc.Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc.Basic knowledge of linear algebra, calculus, and statistics.Strong critical thinking, analytical, and problem-solving skillsSelf-motivated, quick learner and strong team player with ability to work with minimal supervision. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Gurugram, Haryana Work Type: Full Time ABOUT US: Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options. For more details, please visit www.paymentus.com Job Location: Gurugram Job Type: Permanent Interview process: Coding challenge >> Round 1 (Technical Webcam>> Managerial webcam round (Tech + Managerial) Join our team as an AI/ML Specialist and contribute to the delivery of cutting-edge capabilities by leveraging the latest technologies. In this role, you will collaborate closely with stakeholders and technical team members to drive impactful solutions. Requirements: Minimum of 4 years of relevant experience in Data Science, Machine Learning, and AI techniques, with a strong background in open source technologies. Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering. Experience in creating basic RAG pipelines. Familiarity with cloud services such as AWS (EC2, S3, ECR). Expertise in at least one of the following areas: Time Series Analysis, Standard Machine Learning Algorithms, or Deep Learning. Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases. Area of expertise: In-depth knowledge and hands-on experience with at least one object detection framework including TFOD, Detectron, and YOLO, operating within a large-scale distributed platform. Or, Solid understanding of Deep Learning fundamentals (CNN, RNN, attention/memory) and extensions (Transformer, LSTM, ResNet, etc.). Or, Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, ONNX, and open-source methods. Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment. on-making and the ability to justify actions effectively. Why Join Us? Empowerment to focus on pivotal tasks. Embrace a flexible and laid-back work atmosphere. Prioritize work-life balance. Appreciate collaborating with a goal-driven team. Interact with an approachable, supportive, and accomplished management team. Competitive compensation package. Engage with cutting-edge technologies as they emerge in the market. Witness the direct impact of your code on the lives of millions of customer.

We are hiring for a leading multinational industrial technology company that delivers a broad portfolio of digital reality solutions. These solutions harness the power of data to enhance efficiency, productivity, and quality across diverse industries—including manufacturing, infrastructure, safety, and mobility. With a global presence of approximately 24,800 employees across 50 countries and annual net sales of around €5.4 billion, the company is a recognized innovator driving digital transformation on a global scale Key Responsibilities: Design, develop, and optimize high-performance scientific software in C++. Work with numerical algorithms, including linear algebra, ODE/PDE solvers, and parallel numerical methods. Optimize applications for parallel architectures using MPI, OpenMP, or CUDA. Collaborate with researchers and engineers to translate mathematical models into efficient code. Profile, debug, and improve performance of large-scale simulations on multi-core and GPU-based systems. Participate in scientific research and present technical work at meetings or in publications. Show more Show less

Company: Indian / Global Engineering & Manufacturing Organization Key Skills: Machine Learning, ML, AI Artificial intelligence, Artificial Intelligence, Tensorflow, Python, Pytorch. Roles and Responsibilities: Design, build, and rigorously optimize the complete stack necessary for large-scale model training, fine-tuning, and inference--including dataloading, distributed training, and model deployment--to maximize Model Flop Utilization (MFU) on compute clusters. Collaborate closely with research scientists to translate state-of-the-art models and algorithms into production-grade, high-performance code and scalable infrastructure. Implement, integrate, and test advancements from recent research publications and open-source contributions into enterprise-grade systems. Profile training workflows to identify and resolve bottlenecks across all layers of the training stack--from input pipelines to inference--enhancing speed and resource efficiency. Contribute to evaluations and selections of hardware, software, and cloud platforms defining the future of the AI infrastructure stack. Use MLOps tools (e.g., MLflow, Weights & Biases) to establish best practices across the entire AI model lifecycle, including development, validation, deployment, and monitoring. Maintain extensive documentation of infrastructure architecture, pipelines, and training processes to ensure reproducibility and smooth knowledge transfer. Continuously research and implement improvements in large-scale training strategies and data engineering workflows to keep the organization at the cutting edge. Demonstrate initiative and ownership in developing rapid prototypes and production-scale systems for AI applications in the energy sector. Experience Requirement: 5-9 years of experience building and optimizing large-scale machine learning infrastructure, including distributed training and data pipelines. Proven hands-on expertise with deep learning frameworks such as PyTorch, JAX, or PyTorch Lightning in multi-node GPU environments. Experience in scaling models trained on large datasets across distributed computing systems. Familiarity with writing and optimizing CUDA, Triton, or CUTLASS kernels for performance enhancement is preferred. Hands-on experience with AI/ML lifecycle management using MLOps frameworks and performance profiling tools. Demonstrated collaboration with AI researchers and data scientists to integrate models into production environments. Track record of open-source contributions in AI infrastructure or data engineering is a significant plus. Education: M.E., B.Tech M.Tech (Dual), BCA, B.E., B.Tech, M. Tech, MCA. Show more Show less

Gurugram, Haryana Work Type: Full Time ABOUT US: Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options. For more details, please visit www.paymentus.com Job Location: Gurugram Job Type: Permanent Interview process: Coding challenge >> Round 1 (Technical Webcam>> Managerial webcam round (Tech + Managerial) Join our team as an AI/ML Specialist and contribute to the delivery of cutting-edge capabilities by leveraging the latest technologies. In this role, you will collaborate closely with stakeholders and technical team members to drive impactful solutions. Requirements: Minimum of 4 years of relevant experience in Data Science, Machine Learning, and AI techniques, with a strong background in open source technologies. Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering. Experience in creating basic RAG pipelines. Familiarity with cloud services such as AWS (EC2, S3, ECR). Expertise in at least one of the following areas: Time Series Analysis, Standard Machine Learning Algorithms, or Deep Learning. Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases. Area of expertise: In-depth knowledge and hands-on experience with at least one object detection framework including TFOD, Detectron, and YOLO, operating within a large-scale distributed platform. Or, Solid understanding of Deep Learning fundamentals (CNN, RNN, attention/memory) and extensions (Transformer, LSTM, ResNet, etc.). Or, Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, ONNX, and open-source methods. Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment. on-making and the ability to justify actions effectively. Why Join Us? Empowerment to focus on pivotal tasks. Embrace a flexible and laid-back work atmosphere. Prioritize work-life balance. Appreciate collaborating with a goal-driven team. Interact with an approachable, supportive, and accomplished management team. Competitive compensation package. Engage with cutting-edge technologies as they emerge in the market. Witness the direct impact of your code on the lives of millions of customer.

MTS Software System Design Eng. Bangalore, India Engineering 66200 Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ MTS SOFTWARE SYSTEM DESIGN ENGINEER THE ROLE: We are seeking an engineer to join our team that will thrive in a fast-paced work environment, using effective communication, problem-solving and prioritization skills. Individuals that are well organized, show great attention to detail, and employ critical thinking are well-suited for our team. THE PERSON: This AMD (Advanced Micro Devices) team is looking for a senior level person that can help guide the team, mentor upcoming developers, provide long range strategy, and is willing to jump in to help resolve issues quickly. You will be involved in all areas that impact the team including performance, automation, and development. The right candidate will be informed on the latest trends and become prepared to give consultative direction to senior management. KEY RESPONSIBILITIES: Diagnose, troubleshoot, and resolve complex issues related to GPU communication, performance bottlenecks, and scalability. Enhance and maintain RCCL (Radeon Collective Communication Library). Collaborate with hardware engineers and other software developers to optimize performance across various interconnects. Work closely with data scientists and AI teams to integrate RCCL with major deep learning frameworks like TensorFlow and PyTorch. Contribute to the improvement of documentation and user guides for RCCL and associated software components. Stay informed of the latest advancements in GPU technologies, collective communication strategies, and HPC (High-Performance Computing) trends. Mentor engineers and technical leaders, fostering a culture of innovation and excellence. Help develop the next generation of leaders through coaching, training, and feedback. PREFERRED EXPERIENCE: 7+ years of Total experience and Deep expertise with distributed programming models (MPI, SHMEM), and the implementation and optimization of collective communication algorithms Deep expertise with RoCE, RDMA, and network topologies Experience with system software development in C/C++, and GPU software development, parallel programing and GPU architectures. Strong programming skills in C++, CUDA, HIP, MPI, OpenMP or similar parallel computing languages. Familiarity with ROCm ecosystem and open-source development processes is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent written and verbal communication skills. ACADEMIC CREDENTIALS: Bachelor’s or Master’s in Computer Science, or a closely related field #LI-SK4 AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Overview: WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Responsibilities: THE ROLE: We are seeking an engineer to join our team that will thrive in a fast-paced work environment, using effective communication, problem-solving and prioritization skills. Individuals that are well organized, show great attention to detail, and employ critical thinking are well-suited for our team. THE PERSON: This AMD (Advanced Micro Devices) team is looking for a senior level person that can help guide the team, mentor upcoming developers, provide long range strategy, and is willing to jump in to help resolve issues quickly. You will be involved in all areas that impact the team including performance, automation, and development. The right candidate will be informed on the latest trends and become prepared to give consultative direction to senior management. KEY RESPONSIBILITIES: Diagnose, troubleshoot, and resolve complex issues related to GPU communication, performance bottlenecks, and scalability. Enhance and maintain RCCL (Radeon Collective Communication Library). Collaborate with hardware engineers and other software developers to optimize performance across various interconnects. Work closely with data scientists and AI teams to integrate RCCL with major deep learning frameworks like TensorFlow and PyTorch. Contribute to the improvement of documentation and user guides for RCCL and associated software components. Stay informed of the latest advancements in GPU technologies, collective communication strategies, and HPC (High-Performance Computing) trends. Mentor engineers and technical leaders, fostering a culture of innovation and excellence. Help develop the next generation of leaders through coaching, training, and feedback. PREFERRED EXPERIENCE: 12+ years of Total experience and Deep expertise with distributed programming models (MPI, SHMEM), and the implementation and optimization of collective communication algorithms Deep expertise with RoCE, RDMA, and network topologies Experience with system software development in C/C++, and GPU software development, parallel programing and GPU architectures. Strong programming skills in C++, CUDA, HIP, MPI, OpenMP or similar parallel computing languages. Familiarity with ROCm ecosystem and open-source development processes is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent written and verbal communication skills. ACADEMIC CREDENTIALS: Bachelor’s or Master’s in Computer Science, or a closely related field #LI-SK4 Qualifications: Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Job Overview Reporting to the Manager of Software Engineering, this position is a member of a small software group in Ametek’s India office. This group in the Indian office is part of a larger software team that includes software engineer(s) in NJ. This software team is responsible for the design, development and support of leading-edge software products that support our world-class Phantom Cameras. Primarily, this is a Graphical User Interface (GUI) product and a Software Development Kit (SDK) that controls and communicates with our cameras, downloads and views one or multiple cines (video files), and performs image processing, file transfers, file editing, etc. as required. The current GUI is written in C++, QT and QML, the legacy UI is written in C# and the SDK is written in C/C++. Job Responsibilities The Job Responsibilities Include, But Are Not Limited To The primary focus of this position will be in releasing and supporting the SDK using C/C++ and Microsoft Visual Studio and on the various desktop applications and libraries, mainly using Qt and QML. Other duties as assigned. Necessary Skills/Talents B.S. Degree (M.S. preferred) in Computer Science, Electrical Engineering, Computer Engineering or equivalent with 5-10 yrs of experience in software development. Dependable, driven, teachable person with good work ethic and is excited to learn and take on new challenges. Thorough understanding of C/C++ design and programming concepts. Experience with QT and QML Image processing & compression, OpenCL, GPU (CUDA), Windows Sockets, familiarity with Codecs, e.g. H.264, H.265 (Microsoft Media Foundation Encoder), DirectShow API, x264 and x265 codecs. Will be required to work a few hours 2 or 3 evenings a week to coordinate with NJ software team. Flexible, able to change priorities when given new directives for the greater good of the team. Committed to progress and comfortable with the occasional fluidity in hours, to ensure synchronicity between India and US teams. Strong verbal and written communication skills. Experience in troubleshooting, debugging and maintaining existing code. Excellent technical judgment and decision-making skills. Recognizes speed of execution as a competitive advantage for Vision Research and thus makes decisions and takes risks to support the rapid development of products and solutions Desirable Skills Experience with C# Experience on Linux and Mac OS is a Plus Gitlab, Git, CI/CD Vision Research is a Business Unit in the Materials Analysis Division of AMETEK, Inc. Vision Research manufactures industry leading high-speed digital cameras. Our cameras are primarily sold into industrial, academic, defense and government research facilities. We also have a smaller entertainment oriented camera business. Although not our primary focus, Vision Research has received both an Academy Award and an Emmy for our technical contribution to the entertainment industry. To learn more about Vision Research, Phantom cameras and to learn more about our imaging capabilities, please visit www.phantomhighspeed.com. AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.0 billion. AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers’ most complex challenges. We employ 21,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK (NYSE:AME) is a component of the S&P 500. Visit www.ametek.com for more information. Show more Show less

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About The Job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities: Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Proven experience in large-scale model serving and inference optimization is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in one or more of the following: C/C++, Triton, ThunderKittens, or native CUDA, as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Show more Show less

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! As a member of the GPU AI/HPC Infrastructure team, you will provide leadership in the design and implementation of groundbreaking GPU compute clusters that powers all AI research across NVIDIA. We seek an expert to build and operate these clusters at high reliability, efficiency, and performance and drive foundational improvements and automation to improve researchers productivity. As a Site Reliability Engineer, you are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to tackle a broad spectrum of problems. Practices such as limiting time spent on reactive operational work, blameless postmortems and proactive identification of potential outages factor into iterative improvement that is key to both product quality and interesting dynamic day-to-day work. SRE's culture of diversity, intellectual curiosity, problem solving and openness is important to our success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow. What You'll Be Doing In this role you will be building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions. You will also be maintaining and building deep learning AI-HPC GPU clusters at scale and supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows. You will design, implement and support operational and reliability aspects of large scale distributed systems with focus on performance at scale, real time monitoring, logging, and alerting. Design and implement state-of-the-art GPU compute clusters. Optimize cluster operations for maximum reliability, efficiency, and performance. Drive foundational improvements and automation to enhance researcher productivity. Troubleshoot, diagnose, and root cause of system failures and isolate the components/failure scenarios while working with internal & external partners. Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. Practice sustainable incident response and blameless postmortems and Be part of an on-call rotation to support production systems Write and review code, develop documentation and capacity plans, debug the hardest problems, live, on some of the largest and most complex systems in the world. Implement remediations across software and hardware stack according to plan, while keeping a thorough procedural record and data log and Manage upgrades and automated rollbacks across all clusters. What We Need To See Bachelor’s degree in computer science, Electrical Engineering or related field or equivalent experience with a minimum 5+ years of experience designing and operating large scale compute infrastructure. Proven experience in site reliability engineering for high-performance computing environments with operational experience of at least 2K GPUs cluster. Deep understanding of GPU computing and AI infrastructure. Passion for solving complex technical challenges and optimizing system performance. Experience with AI/HPC advanced job schedulers, and ideally familiarity with schedulers such as Slurm. Working knowledge of cluster configuration management tools such as BCM or Ansible and infrastructure level applications, such as Kubernetes, Terraform, MySQL, etc. In depth understating of container technologies like Docker, Enroot, etc. Experience programming in Python and Bash scripting. Ways To Stand Out From The Crowd Interest in crafting, analyzing, and fixing large-scale distributed systems. Familiarity with NVIDIA GPUs, Cuda Programming, NCCL, MLPerf benchmarking, InfiniBand with IBoIP and RDMA. Experience with Cloud Deployment, BCM, Terraform. Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads. Multi-cloud experience. JR1993564 Show more Show less

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing more than 25 years. It’s an outstanding legacy of innovation that’s fueled by great technology—and amazing people. NVIDIA has also established itself as one of the most admired and valuable companies in the world given the market leading positions for AI SW and HW. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world What You’ll Be Doing You will lead team of highly skilled and motivated engineers working on digital video technologies. Build the processes to achieve high quality software development Make the right technical choices and tradeoffs governed by data driven development Coordinate with multi-functional software teams contributing to roadmap Continuous improvement of quality and performance of the software and raise the bar Decide the objective and goals and drive team towards achieving those Guide the team for shipping the solutions What We Need To See Bachelor's or Master's degree in Computers, Electrical, Electronics Engineering or related field with 8+ overall years of proven experience with focus on software development for embedded SOCs 4+ years of managing a team Excellent exposure to digital video sub systems Relevant working experience in implementing video compression standards Background in developing and implementation of pre and post processing algorithms for digital video pipeline Proficient in C and modern C++, Python scripting Experience in leading multisite teams Thrive in Linux and QNX development platform. Ways To Stand Out From The Crowd Understanding of state of art H.264/H.265/AV1 standards Performance and power optimizations for video playback, record use cases. Video algorithms such as rate control, pre processing filters, ML/DL/Cuda based techniques, Frame rate up conversion, HDR playback pipeline ASPICE and ISO – 26262 safety standard Knowledge of using AI assisted tools for manager functions and some exposure to such tools for development work. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR1996846 Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary Job Overview: The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must. We are seeking a highly skilled and motivated Language Model Engineer to join our team. The primary role of the engineer will be to train Large Language Models (LLMs) from scratch and fine-tune existing LLMs on various datasets using state-of-the-art techniques. Responsibilities Model Training and Fine-tuning: Train LLMs from scratch using various datasets. Fine-tune pre-trained models on specific tasks or datasets to improve performance. Implement state-of-the-art LLM training techniques such as Reinforcement Learning from Human Feedback (RLHF), ZeRO (Zero Redundancy Optimizer), Speculative Sampling, and other speculative techniques. Data Management: Handle large datasets effectively. Ensure data quality and integrity. Implement data cleaning and preprocessing techniques. Hands-on with EDA is a plus. Model Evaluation: Evaluate model performance using appropriate metrics. Understand the trade-offs between different evaluation metrics. LLM metrics: Sound understanding of various LLM metrics like MMLU, Rouge, BLEU, Perplexity etc. AWQ: Understanding of Quantization is a plus. Knowledge on QAT will be a plus. Research and Development: Stay updated with the latest research in NLP and LLMs. Implement state-of-the-art techniques and contribute to research efforts. Collaboration: Work closely with other teams to understand requirements and implement solutions. Required Skills And Experience Deep Learning Frameworks: Hands-on experience with PyTorch at a granular level. Familiarity with tensor operations, automatic differentiation, and GPU acceleration in PyTorch. NLP and LLMs: Strong understanding of Natural Language Processing (NLP) and experience working with LLMs. Programming: Proficiency in Python and experience with software development best practices. Data Handling: Experience working with large datasets. Familiarity with data version control tools is a plus. Education: A degree in Computer Science, Machine Learning, AI, or related field. Advanced degree is a plus. Communication: Excellent written and verbal communication skills. Work experience : Open, 2 – 10 years of relevant experience. Preferred Skills Optimization: Knowledge of optimization techniques for training large models. Neural Architecture Search (NAS): Experience with NAS techniques for optimizing model architectures is a plus. Hands-on experience with CUDA, CUDNN is a plus. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3075570 Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: More details below: Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities: In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Minimum Qualifications: Bachelor’s degree in engineering, Computer Science, or related field and 10+ years of Systems Engineering or related work experience. OR Master’s degree in engineering, Computer Science, or related field and 9+ years of Systems Engineering or related work experience. Requirements: Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, KV caching etc.) Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Hands-on experience in C/C++ programming, Design Patterns and OS concepts. Excellent analytical and debugging skills. Exposure to shell scripts, python scripts, understanding of Linux/Windows systems and automation scripts/environment. Good communication skills, presentation skills and should manage his/her tasks independently. Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development and familiarity Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and languages like OpenCL and CUDA is a plus Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3073180 Show more Show less

Role: Senior System Engineer II (AI Infrastructure) Stack: Linux, LXC, Python, libvirt, KVM, QEMU, CEPH, VyOS, GPU network fabric Tools: NetPlan, Ansible, Prometheus, Grafana, Bash Shell scripting What You’ll Be Doing: Provision, deploy, and maintain GPU and compute infrastructure in high-performance environments. Work with your fellow sharks to design, develop, and optimize the next generation of GPU infrastructure. Manage and configure Linux networking using Netplan. Develop and maintain infrastructure automation scripts using Python, Bash, or other scripting languages. Collaborate with cross-functional teams to meet AI/ML infrastructure needs. Work with customers and stakeholders to define and refine infrastructure requirements needed to support their AI/ML workload Work with infrastructure technical leaders to define infrastructure requirements to store, move, and manipulate large datasets Guide performance teams on industry standard testing methodologies and help optimize for GPU fabric throughput Identify security improvements and drive review discussions with internal teams Working directly with individual engineering teams to deliver new infrastructure functions and technologies in support of AI/ML products What We’ll Expect From You: Experience delivering bare metal GPU infrastructure Provision, deploy, and maintain GPU and compute infrastructure in high-performance environments. Manage and configure Linux networking using Netplan. Understanding of AI/ML workloads and overall industry trends Strong collaborator and consensus builder. Author and review design documentation. Experience troubleshooting, analyzing, and debugging relevant virtualization stacks (kernel, KVM, QEMU) Experience as a software engineer / developer in a large scale, distributed environment Experience writing secure, testable, and robust low-level code Deep understanding of operating systems, virtualization, and Linux internals Familiarity with related virtualization fundamentals, including networking datapath, containers, and data persistence layers A critical thinker dedicated to solving problems and delivering solutions Required Skills & Qualifications Strong systems administration experience in Linux (Ubuntu or Debian-based systems preferred). Scripting expertise (Python, Bash, etc.) for automation and tooling. Experience in infrastructure provisioning and deployment, both bare-metal and containerized. Proficiency with Netplan and Linux network stack configuration (routes, interfaces, DNS). Familiarity with GPU technologies and cloud platforms (AWS, Azure, GCP) is a plus. Day-to-day tasks as seen on the job: Provision, deploy, and maintain GPU and compute infrastructure in high-performance environments. Manage and configure Linux networking using Netplan. MAAS Runbooks (documents) Author and edit runbooks (procedures) for provisioning (deployment), decommissioning (reclaim/removal), repave (LXC container cleanup) etc. Author and edit runbooks (playbooks) for new issues encountered and troubleshooting performed to fix them. Provisioning procedure New customer deployments Existing customer expansions Minimum Skillset: MAAS – structure, cloud-init (initial configuration scripts) LXC basic start, stop, destroy, list of container(s) maneuvering LXC access from bare metal host troubleshooting services created within LXC at deploy time Local storage Partitions (on physical disk devices) Software RAID mdadm (md0/1/2, on partitions) Filesystem (ext4, on S/w RAID block devices) NCCL – single-node and multi-node distributed tests Database – PostgreSQL, psql: basic SELECT, UPDATE queries Specific NVIDIA driver and CUDA version install on specific Ubuntu and HWE kernel SCM – Git, GitHub: branch, commit, PR, markdown File – yaml (JSON), sh (Bash Shell), py (Python) formatting knowledge DCIM – NetBox ITSM – Jira Show more Show less

Join LanceQ as a Freelance C++ Developer – Power Performance-Critical Applications for Global Clients 🌐 Apply Now : https://waitlist.lanceq.com/ About LanceQ LanceQ is a next-generation freelance marketplace connecting elite developers and tech professionals with high-impact projects from global startups and enterprises. With 50+ AI-powered services and a collaborative service model, we enable freelancers to lead solutions, build their brand, and grow — with zero upfront cost. We’re reimagining the future of freelance work by giving skilled professionals the tools, structure, and support to scale their expertise across borders. Role: Freelance C++ Developer (Remote, Full-Time) As a Freelance C++ Developer , you’ll work on performance-critical systems, real-time applications, and backend modules for startups building next-gen products in finance, gaming, embedded systems, and AI. This is your chance to work independently, collaborate globally, and lead high-value development packages. What You'll Do Design and develop software using modern C++ (C++11 and beyond) Build and optimize high-performance modules for real-time systems Work on applications in domains like finance, gaming, simulation, or embedded tech Debug, test, and maintain clean, scalable code Collaborate with cross-functional teams including UI, AI/ML, and DevOps Contribute to reusable service templates tailored for startup environments What We’re Looking For 5+ years of hands-on experience in C++ software development Strong command of object-oriented programming and memory management Proficiency in STL, multithreading, sockets, and design patterns Experience with cross-platform development (Windows, Linux, embedded) Familiarity with version control (Git), CI/CD, and debugging tools Bonus: Exposure to CUDA, OpenCL, Unreal Engine, or AI/ML integrations Why Join LanceQ? Scale your freelance business with zero upfront cost Work with top-tier startups on performance-driven projects Access a global network of tech professionals and collaborators Lead service packages and grow your personal brand Get early access to AI-powered tools and infrastructure support Apply to the Waitlist Now We’re onboarding senior C++ developers ready to contribute to high-performance, real-world projects. If you're ready to code at scale — join LanceQ today . 🌐 https://waitlist.lanceq.com/ #CppDeveloper #FreelanceTech #RemoteWork #HighPerformanceCode #LanceQ #FutureOfWork #FreelanceMarketplace #C++11 #SoftwareEngineering #TechCareers Show more Show less

Job Title: Software Engineer & Senior Instructor Location: Sonipat (On-site) Institution: Newton School of Technology / Rishihood University, Sonipat. Experience: 2-5 years Overview Job Description Rishihood University (RU) has been established under The Haryana Private Universities (Amendment) Act, 2020 and is empowered to award degrees as specified in section 22 of the UGC Act, 1956. Newton School and Rishihood University have formed a powerful partnership to drive transformation in the world of technology and education. Newton School, dedicated to bridging the employability gap, has partnered with Rishihood University, India's first impact university. Together, we will be revolutionizing education, empowering students, and shaping the future of technology. With a team of renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. Key Responsibilities Teach Computer Architecture: Design and deliver practical, project-based courses in computer architecture (e.g., ISA design, processor architecture, memory hierarchy, pipelining, parallelism, hardware-software interface, and performance optimization). Develop Industry-Relevant Curriculum: Help design and update the computer architecture curriculum to reflect current industry hardware, tools, and best practices, incorporating your own professional experience and case studies. Mentor Student Projects: Guide students through hands-on computer architecture projects, providing technical direction, architecture reviews, and feedback based on industry standards. Guide & Mentor Students: Advise students on developing practical skills, understanding career paths in hardware engineering and system-level software development, and preparing for internships and job placements. Stay Current: Keep your expertise sharp on the latest computer architecture trends and technologies, bringing that knowledge into the classroom.. Collaborate: Work closely with other industry-expert faculty and staff to create a unified and effective learning experience. Assess Practical Skills: Create and evaluate assignments, projects, and assessments focused on measuring practical application and understanding. Required Qualifications & Experience Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a similar field. Minimum 2-5 years of direct, hands-on professional experience in software engineering with significant focus on system-level programming, hardware-software interface, or performance optimization. Proven Industry Track Record: Demonstrable experience developing software that interfaces with or optimizes for specific computer architectures, or experience in performance-critical application development.. Deep Computer Architecture Understanding: Strong grasp of processor design principles, memory systems, instruction set architectures, and how software interacts with hardware components. Passion for Teaching/Mentoring: Clear ability and enthusiasm for explaining complex technical topics and guiding others. Experience in corporate training, mentoring junior team members, leading workshops, creating technical content, or supervising projects is highly relevant. (Formal academic teaching experience is not a prerequisite). Essential Skills Technical: Extensive work with C/C++ for performance-critical applications Experience with Assembly language programming Knowledge of parallel programming concepts and multi-core architectures Experience with hardware description languages (Verilog/VHDL) is a plus Proficiency with computer architecture simulation tools Strong understanding of operating systems and their interaction with hardware Communication: Excellent ability to explain technical concepts clearly to students. Strong mentoring skills. Collaboration: Team-oriented approach. Passion: Genuine interest in education and student success within an innovative, practical learning environment. Good-to-Have Prior teaching experience at the undergraduate. Experience with performance profiling and optimization techniques. Development of low-level system software (device drivers, firmware). Industry experience with GPU architectures or specialized processors . CUDA or OpenCL programming for GPU computing and in-depth understanding of SIMD instructions. Background in compiler design or optimization. Linux kernel development or modification experience. Experience with cloud infrastructure. Perks & Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. Contribution to cutting-edge academic work in collaboration with Newton School of Technology and Rishihood University. In the meantime, you can explore our website Newton School of Technology to learn more about Newton School of Technology and our work. We look forward to welcoming you to our academic team and shaping the future of technology education together! Show more Show less

Required Skills: C++: Strong proficiency in modern C++ (C++11/14/17/20). CUDA Programming: Extensive experience in developing, debugging, and optimizing CUDA applications. GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and warp-level operations in CUDA. Parallel Computing: Solid understanding of parallel algorithms and multi-threaded programming. Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and numerical methods. Tools: Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar Primary Responsibilities: Software Development: Develop and maintain high-performance applications using C++ and CUDA. Design and implement parallel algorithms for GPUs to accelerate computational workloads. Performance Optimization: Optimize CUDA kernels for performance, scalability, and memory efficiency. Analyze performance bottlenecks and propose innovative solutions. Code Review and Testing: Conduct code reviews to ensure adherence to coding standards and best practices. Develop and execute test cases to validate functionality and performance. Collaboration: Work closely with the software engineering and research teams to understand requirements and deliver robust solutions. Provide technical guidance and mentoring to junior team members when necessary. Documentation: Write and maintain technical documentation, including design specifications and user manuals Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,400,000.00 per year Schedule: Day shift Morning shift Ability to commute/relocate: Kandivali West, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): This is an onsite (office) job. We are looking for a local MUMBAI candidates only for this role. Are you based out of Mumbai? Experience: C++ (C++11/14/17/20): 4 years (Required) CUDA Programming: 4 years (Required) GPU Optimization: 4 years (Required) Debugging/Profiling tools(Nsight, CUDA Memcheck etc): 4 years (Required) Work Location: In person

Overview: WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Responsibilities: SOFTWARE SYSTEM DESIGNER 2 THE ROLE: This is an exciting role in which you will have excellent exposure to all the latest AMD (Advanced Micro Devices) technologies. Imagine yourself as part of the team which will deliver our next generation of our products or automation for many of our reference solutions. This is a phenomenal opportunity to work in an outstanding company like AMD. THE PERSON: You are a self-starter who is able to achieve successful outcomes in a non-hierarchical environment. Detailed oriented, you have the ability to multitask through planning/organizing. You have excellent communication and presentation skills and a passion to push the limits of software on innovative platforms. KEY RESPONSIBILITIES: Responsible for AMD’s ROCm SW stack validation on various AMD GPUs. Automate the new tests and design new frameworks Responsible for strengthening Component quality of ROCm stack components. Candidate should work with relevant stake holders, implement the tests and execute them. Strong Analytical , Problem-solving & interpersonal skills Responsible for triage/Debug of issues and identifying correct component, assist stake holders for faster closure of issues. Responsible for quality and timeliness for the activities. Implement checks and balances independently to minimize the impact of mistakes. PREFERRED EXPERIENCE: Good understanding of test and development lifecycle, QA process & terminology Strong hands-on knowledge of Linux Internals, Device drivers, Graphics, GPU and CPU pipelines, parallelism, cache, and other performance factors Good understanding of Linux (Compiler, Kernel, etc.) Good system level programming knowledge in C++/Python Understanding of Machine Learning, HPC apps, Computer Vision, parallel programming, OpenCL, ROCm, CUDA, and OpenACC is a plus Good verbal & written communication skill is a must Good attitude, result-driven & ability to deliver on next-gen technology Flexible to work on a shift basis depending on the business needs ACADEMIC CREDENTIALS: Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent Qualifications: Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

About Barco Barco designs technology to enable bright outcomes around the world. Seeing beyond the image, we develop visualization and collaboration solutions to help you work together, share insights, and wow audiences. Our focus is on three core markets: Enterprise (from meeting and control rooms to corporate spaces), Healthcare (from the radiology department to the operating room), and Entertainment (from movie theaters to live events and attractions). We have a team of 3,600 employees, located in 90 countries, whose passion for technology is captured in 400 granted patents. As part of GEAX organization which is the Software product development group at Barco our vision is to be a world class software team partnering with our businesses to offer successful software solutions and outcomes that delight our customers and set the trend in our dynamic markets. About Image processing group @ BARCO The demand for extremely high-resolution, video-based installations that impress audiences with an exceptional visual experience is growing. That’s why digital image processing, screen management, and show control are key. Barco provides event professionals and themed venue owners with a very complete range of image processing software and hardware solutions. Unbridled creativity and ultimate ease-of-use, that’s what our processors are all about. The power and flexibility can be used in different applications from live shows to meeting environments and from auditoriums to television studios. The only limit is your imagination. About the Role We are seeking a highly motivated and experienced Product Owner to join our dynamic team. In this critical role, you will be the vital link between our global stakeholders and our talented engineering teams, driving the development of innovative product spanning across diverse set of technologies involving embedded technology, on-premise, web, AI and cloud. You will be responsible for defining the product vision, managing the product backlog, and ensuring that our solutions meet customer needs and align with our strategic business objectives. This role requires exceptional stakeholder management skills to navigate diverse perspectives across various geographies and a strong understanding of above mentioned technologies. Key Responsibilities Product Vision & Strategy Collaborate with product management, engineering, sales, marketing, and other international stakeholders to define and champion a clear and compelling product vision and roadmap for our offerings. Translate product strategy into detailed requirements, user stories, and acceptance criteria. Conduct market research and competitive analysis to identify opportunities and ensure product differentiation. Backlog Management Own, prioritize, and maintain the product backlog in alignment with the overall strategy and business value, considering input from stakeholders across different regions. Clearly articulate backlog items to the development teams, ensuring a shared understanding of requirements and objectives. Lead backlog grooming sessions and sprint planning meetings. Stakeholder Management Across Geographies Act as the primary point of contact and communication conduit between internal and external stakeholders located in various global regions. Proactively engage with stakeholders to understand their needs, gather feedback, manage expectations, and build strong, collaborative relationships. Effectively navigate cultural and time-zone differences to ensure alignment and clear communication across all geographies. Facilitate discussions and negotiate priorities among stakeholders with diverse and sometimes conflicting interests. Agile & Execution Work closely with Scrum Masters and development teams (potentially distributed across different locations) within an Agile framework. Participate actively in Agile ceremonies, including sprint planning, sprint reviews and retrospectives, providing feedback and driving continuous improvement. Ensure the development team understands the product vision, user needs, and business context related to embedded technologies. Make timely decisions to ensure smooth sprint execution and remove roadblocks. Technology Focus Leverage your understanding of embedded systems (hardware, firmware, software interactions, communication protocols, and development lifecycles), on-premise, web, AI and cloud to guide engineering team wherever needed. Understand the technical constraints and opportunities inherent in embedded product development. Collaborate with engineering teams on technical feasibility and trade-off discussions. Product Launch & Iteration Collaborate with product management, global marketing, sales teams to support product launches. Collaborate with stakeholder (Product management, Sales, marketing) to gather post-launch feedback and iterate on the product to enhance customer satisfaction and value. Define and track key product performance indicators (KPIs). Preferred Skills and Experience B.Tech./B.E/M.Tech in computer science or equivalent stream 10 - 15 years of experience working in an R&D environment Excellent interpersonal, communication skills Demonstrated distributed track of geographically distributed stakeholder management Excellent team players Attitue to learn new skill and work on stretched goals Must Have Skills Exceptional Global Stakeholder Management: Proven ability to effectively communicate, influence, and build consensus with diverse stakeholders across different geographies, cultures, and time zones. Agile Product Ownership: Proficiency in defining product vision, creating and prioritizing product backlogs, writing clear user stories and acceptance criteria, and leading Agile (Scrum/Kanban) ceremonies. Advanced Communication & Articulation: Ability to clearly convey complex technical concepts to both technical and non-technical audiences, and to translate business needs into technical requirements. Strategic Thinking & Problem-Solving: Capability to analyze market needs, define product strategy for embedded systems, and make data-driven decisions to solve complex problems. Cross-Functional Collaboration: Skill in working effectively with engineering, design, marketing, sales, and other teams (often globally distributed) to deliver successful products. UX/UI Design Sensibility: A good understanding of user experience principles and the ability to contribute to user-centric design discussions for embedded interfaces Data Analysis & Business Acumen: Skills in analyzing product performance data, market trends, and basic financial modeling to inform product decisions and demonstrate business impact. Exposure to diverse technologies: Good uunderstanding of embedded hardware, interaction between hardware and software, cloud technologies Skills Nice To Have Domain knowledge in image & video processing and screen management solutions is highly desirable Understanding and exposure to the NVIDIA AI ecosystem (e.g., GPUs, CUDA, TAO Toolkit, DeepStream) is a significant plus. Formal Agile/Product Owner Certifications: Such as Certified Scrum Product Owner (CSPO), Advanced Certified Scrum Product Owner (A-CSPO), or SAFe Product Owner/Product Manager (POPM). Specific Industry Domain Experience: Prior experience in relevant embedded sectors (e.g., IoT, automotive, consumer electronics, industrial automation, medical devices). Technical Background in Engineering/Development: Previous hands-on experience in software or hardware engineering, particularly within embedded systems, can provide deeper insights. Experience with Hardware-Software Co-design Challenges: Specific experience in projects where tight integration between hardware and software was critical. Familiarity with Regulatory Compliance: Knowledge of relevant industry standards and compliance requirements for embedded products (e.g., safety, security, connectivity standards). D&I Statement At Barco, innovation drives everything we do. We believe that diversity fuels creativity, bringing us closer to our colleagues and customers. Inclusion and equity aren't just values—they're core capabilities that propel us toward our shared goals and mission. Read here how we do this Show more Show less

About Barco Barco designs technology to enable bright outcomes around the world. Seeing beyond the image, we develop visualization and collaboration solutions to help you work together, share insights, and wow audiences. Our focus is on three core markets: Enterprise (from meeting and control rooms to corporate spaces), Healthcare (from the radiology department to the operating room), and Entertainment (from movie theaters to live events and attractions). We have a team of 3,600 employees, located in 90 countries, whose passion for technology is captured in 400 granted patents. As part of GEAX organization which is the Software product development group at Barco our vision is to be a world class software team partnering with our businesses to offer successful software solutions and outcomes that delight our customers and set the trend in our dynamic markets. About Image processing group @ BARCO The demand for extremely high-resolution, video-based installations that impress audiences with an exceptional visual experience is growing. That’s why digital image processing, screen management, and show control are key. Barco provides event professionals and themed venue owners with a very complete range of image processing software and hardware solutions. Unbridled creativity and ultimate ease-of-use, that’s what our processors are all about. The power and flexibility can be used in different applications from live shows to meeting environments and from auditoriums to television studios. The only limit is your imagination. About The Role We are seeking an Expert C++20 Developer with specialized expertise in GStreamer and Vulkan to enhance our multimedia and graphics processing capabilities. You will be responsible for developing and optimizing pipelines and rendering solutions that leverage these technologies to deliver high-performance and visually stunning experiences, and a string understanding of real-time multimedia applications. Key Responsibilities Design and implement GStreamer pipelines for audio and video processing. Develop and optimize Vulkan-based rendering solutions. Integrate GStreamer and Vulkan with other components of the platform. Design and development of virtual assistance features and interfaces. Optimize performance for various hardware configurations. Troubleshoot and resolve complex issues related to GStreamer and Vulkan. Stay up-to-date with the latest developments in GStreamer and Vulkan. Document technical specifications and best practices. Preferred Skills and Experience B.Tech./B.E/M.Tech in computer science or equivalent stream 5- 9 years of experience working in an R&D environment Excellent interpersonal, communication skills Excellent team players Attitue to learn new skill and work on stretched goals Must Have Skills Well demonstrated expertise in proficiency in C++20 and modern C++ paradigms. In-depth knowledge of GStreamer pipeline development. Strong understanding of Vulkan graphics API. Experience with audio and video processing. Experience with virtual assistance technologies like AR/VR and AI frameworks. Excellent problem-solving and debugging skills. Experience with Sony NMOS and MediaTek NeuroPilot. Experience with FFmpeg. Knowledge of OpenXR. Familiarity with Linux development environments. Experience with multimedia frameworks and real-time data streaming. Strong understanding of graphics rendering techniques and optimization. Familiarity with NLU and AI engines. Nice To Have Skills Exposure to AI/ML technologies especially around computer vistion Exposure to NVIDIA ecosystem with libraries like TAO, DeepStream, Rivermax, NVidia CUDA Show more Show less

Date: Jun 12, 2025 Location: Noida, IN Company: Barco About Barco Barco designs technology to enable bright outcomes around the world. Seeing beyond the image, we develop visualization and collaboration solutions to help you work together, share insights, and wow audiences. Our focus is on three core markets: Enterprise (from meeting and control rooms to corporate spaces), Healthcare (from the radiology department to the operating room), and Entertainment (from movie theaters to live events and attractions). We have a team of 3,600 employees, located in 90 countries, whose passion for technology is captured in 400 granted patents. As part of GEAX organization which is the Software product development group at Barco our vision is to be a world class software team partnering with our businesses to offer successful software solutions and outcomes that delight our customers and set the trend in our dynamic markets. About Image processing group @ BARCO The demand for extremely high-resolution, video-based installations that impress audiences with an exceptional visual experience is growing. That’s why digital image processing, screen management, and show control are key. Barco provides event professionals and themed venue owners with a very complete range of image processing software and hardware solutions. Unbridled creativity and ultimate ease-of-use, that’s what our processors are all about. The power and flexibility can be used in different applications from live shows to meeting environments and from auditoriums to television studios. The only limit is your imagination. About the Role We are seeking a highly motivated and experienced Product Owner to join our dynamic team. In this critical role, you will be the vital link between our global stakeholders and our talented engineering teams, driving the development of innovative product spanning across diverse set of technologies involving embedded technology, on-premise, web, AI and cloud. You will be responsible for defining the product vision, managing the product backlog, and ensuring that our solutions meet customer needs and align with our strategic business objectives. This role requires exceptional stakeholder management skills to navigate diverse perspectives across various geographies and a strong understanding of above mentioned technologies. Key Responsibilities Product Vision & Strategy Collaborate with product management, engineering, sales, marketing, and other international stakeholders to define and champion a clear and compelling product vision and roadmap for our offerings. Translate product strategy into detailed requirements, user stories, and acceptance criteria. Conduct market research and competitive analysis to identify opportunities and ensure product differentiation. Backlog Management Own, prioritize, and maintain the product backlog in alignment with the overall strategy and business value, considering input from stakeholders across different regions. Clearly articulate backlog items to the development teams, ensuring a shared understanding of requirements and objectives. Lead backlog grooming sessions and sprint planning meetings. Stakeholder Management Across Geographies: Act as the primary point of contact and communication conduit between internal and external stakeholders located in various global regions. Proactively engage with stakeholders to understand their needs, gather feedback, manage expectations, and build strong, collaborative relationships. Effectively navigate cultural and time-zone differences to ensure alignment and clear communication across all geographies. Facilitate discussions and negotiate priorities among stakeholders with diverse and sometimes conflicting interests. Agile & Execution: Work closely with Scrum Masters and development teams (potentially distributed across different locations) within an Agile framework. Participate actively in Agile ceremonies, including sprint planning, sprint reviews and retrospectives, providing feedback and driving continuous improvement. Ensure the development team understands the product vision, user needs, and business context related to embedded technologies. Make timely decisions to ensure smooth sprint execution and remove roadblocks. Technology Focus Leverage your understanding of embedded systems (hardware, firmware, software interactions, communication protocols, and development lifecycles), on-premise, web, AI and cloud to guide engineering team wherever needed. Understand the technical constraints and opportunities inherent in embedded product development. Collaborate with engineering teams on technical feasibility and trade-off discussions. Product Launch & Iteration: Collaborate with product management, global marketing, sales teams to support product launches. Collaborate with stakeholder (Product management, Sales, marketing) to gather post-launch feedback and iterate on the product to enhance customer satisfaction and value. Define and track key product performance indicators (KPIs). Preferred Skills and Experience B.Tech./B.E/M.Tech in computer science or equivalent stream 10 - 15 years of experience working in an R&D environment Excellent interpersonal, communication skills Demonstrated distributed track of geographically distributed stakeholder management Excellent team players Attitue to learn new skill and work on stretched goals Must have skills Exceptional Global Stakeholder Management: Proven ability to effectively communicate, influence, and build consensus with diverse stakeholders across different geographies, cultures, and time zones. Agile Product Ownership: Proficiency in defining product vision, creating and prioritizing product backlogs, writing clear user stories and acceptance criteria, and leading Agile (Scrum/Kanban) ceremonies. Advanced Communication & Articulation: Ability to clearly convey complex technical concepts to both technical and non-technical audiences, and to translate business needs into technical requirements. Strategic Thinking & Problem-Solving: Capability to analyze market needs, define product strategy for embedded systems, and make data-driven decisions to solve complex problems. Cross-Functional Collaboration: Skill in working effectively with engineering, design, marketing, sales, and other teams (often globally distributed) to deliver successful products. UX/UI Design Sensibility: A good understanding of user experience principles and the ability to contribute to user-centric design discussions for embedded interfaces Data Analysis & Business Acumen: Skills in analyzing product performance data, market trends, and basic financial modeling to inform product decisions and demonstrate business impact. Exposure to diverse technologies: Good uunderstanding of embedded hardware, interaction between hardware and software, cloud technologies Skills nice to have Domain knowledge in image & video processing and screen management solutions is highly desirable Understanding and exposure to the NVIDIA AI ecosystem (e.g., GPUs, CUDA, TAO Toolkit, DeepStream) is a significant plus. Formal Agile/Product Owner Certifications: Such as Certified Scrum Product Owner (CSPO), Advanced Certified Scrum Product Owner (A-CSPO), or SAFe Product Owner/Product Manager (POPM). Specific Industry Domain Experience: Prior experience in relevant embedded sectors (e.g., IoT, automotive, consumer electronics, industrial automation, medical devices). Technical Background in Engineering/Development: Previous hands-on experience in software or hardware engineering, particularly within embedded systems, can provide deeper insights. Experience with Hardware-Software Co-design Challenges: Specific experience in projects where tight integration between hardware and software was critical. Familiarity with Regulatory Compliance: Knowledge of relevant industry standards and compliance requirements for embedded products (e.g., safety, security, connectivity standards). D&I Statement At Barco, innovation drives everything we do. We believe that diversity fuels creativity, bringing us closer to our colleagues and customers. Inclusion and equity aren't just values—they're core capabilities that propel us toward our shared goals and mission. Read here how we do this