23 Gpu Programming Jobs

We are looking for a highly skilled HPC/GPU Operations Engineer with 6-10 years of experience to oversee the management, optimization, and maintenance of high-performance computing (HPC) infrastructure, specifically focusing on GPU-accelerated workloads. Your primary responsibilities will include ensuring the reliability, efficiency, and scalability of HPC systems used for scientific computing, AI/ML, and data-intensive applications. As an IC3 level professional, you will be tasked with the following responsibilities: - Managing and administering HPC clusters, GPU nodes, and high-speed interconnects. - Configuring GPU-accelerated workloads for AI/ML, scientific computing, and simulations. - Monitoring system performance, troubleshooting issues, and optimizing resource utilization. - Installing, configuring, and maintaining HPC-related software, libraries, and tools such as CUDA, OpenMP, and MPI. - Supporting containerized workflows using technologies like Docker and Singularity. - Ensuring software compatibility with GPU architectures from NVIDIA, AMD, and Intel. - Tuning GPU and CPU performance for specific workloads, including benchmarking and profiling. - Utilizing monitoring tools like Prometheus, Grafana, and Slurm to track system health and efficiency. - Optimizing scheduling and resource allocation in workload managers such as Slurm, PBS, and LSF. - Upholding system security and access control for HPC resources. - Applying software patches, firmware updates, and security best practices. - Assisting in regulatory compliance for HPC environments. - Providing support to researchers, data scientists, and engineers using HPC resources. - Developing and maintaining documentation on best practices, troubleshooting, and system usage. - Conducting training sessions or workshops on HPC/GPU computing. To qualify for this role, you should possess the following technical skills: - Experience in managing HPC clusters and GPU-based computing environments. - Proficiency in Linux system administration, scripting (Bash, Python), and automation (Ansible, Terraform). - Knowledge of parallel computing, GPU programming (CUDA, OpenCL), and HPC frameworks. - Familiarity with networking technologies such as Infiniband and RDMA, storage solutions like Lustre, GPFS, NFS, and virtualization. At Oracle, we are dedicated to leveraging cutting-edge technology to address current challenges while fostering an inclusive work environment that encourages innovation and collaboration. We offer a range of competitive benefits, flexible medical, life insurance, and retirement options, and support employee engagement in volunteer programs. We are committed to providing accessibility assistance or accommodation for individuals with disabilities throughout the employment process. If you require such assistance, please contact us via email at accommodation-request_mb@oracle.com or by phone at +1 888 404 2494 in the United States.,

Automation Testers are requested not to apply; Develop a new product that delivers Software Automation in all phases of Infrastructure Management to End-customers in the AI space with IaC; Git, CI/CD; Bash Script; Kubernetes; virtualization; LINUX OS Required Candidate profile Solid Command on Java, Python, C, C++. (any of them); Ansible playbooks, code that manage Linux-based HPC and AI environments; Bare metal provisioning: PXE, kickstart; Linux-based systems; Ansible;

Qualcomm India Private Limited is seeking Developer Advocates to support developers in creating generative AI and AI-driven hardware applications. As a Developer Advocate, you will engage with the community, develop resources to onboard developers onto Qualcomm platforms that are utilized in various industries and applications including mobile, laptops, mixed-reality, robotics, and industrial IoT. Collaboration with product, engineering, and regional sales teams is essential to drive awareness and engagement for Qualcomm platforms. The ideal candidate should possess experience in building end-to-end applications in areas such as Computer Vision, Audio, LVM, LLM using AI/ML tools on Linux/Windows for CPU, GPU, and AI accelerators. A passion for developing AI models and integrating them into different applications is crucial. Responsibilities include developing plans to engage with external developers in IoT, Automotive, and the Microsoft device ecosystem, collaborating across software and hardware engineering teams, understanding ML model design trends, and contributing new features to the Qualcomm AI toolkit. The role involves interfacing with 3rd party developers to create easy-to-use sample applications and documentation for Windows on Snapdragon. Minimum Qualifications: - Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. - 6+ years of Software Engineering, Systems Engineering, or related work experience. Preferred Qualifications: - In-depth knowledge of AI frameworks like TensorFlow, PyTorch, GPU programming, and parallel computing. - Proficiency in AI software stack, AI performance tuning techniques, and development of AI applications on Windows. - Experience with training and deployment of models on servers and client Windows compute platforms. - Strong programming skills in Python, C++. - Excellent communication and leadership abilities. - Proficient in problem-solving, analytical thinking, and adaptation to a fast-changing environment. - Familiarity with software development methodologies, version control systems, and agile project management practices. - 12+ years of experience in application development with a focus on High-Performance Computing and 5+ years in AI application development on Windows. Qualcomm is an equal opportunity employer and is committed to providing accommodations for individuals with disabilities during the application process. If you need assistance, you can email disability-accommodations@qualcomm.com or call Qualcomm's toll-free number. Note: The above email address is specifically for disability accommodations and not for updates on applications or resume inquiries.,

We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we're building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible faster, leaner, and smarter. We thrive in a fast-paced, experimentation-rich environment where new technologies aren't just welcome they're expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure we'd love to meet you. Cisco is seeking a forward-thinking AI Infrastructure Engineer to help design and implement the next-generation AI products. This role will focus on delivering high-performance, efficient, and reliable solutions that power AI workloads across Cisco's ecosystem. As an AI Infrastructure Engineer at Cisco, you will play a pivotal role in shaping the AI systems that enable cutting-edge innovations. Your work will directly impact: - The performance and efficiency of AI workloads on the node. - The reliability and availability of AI systems for Cisco's customers. - Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries. - Collaboration across internal teams to bring system-level innovation across different Cisco products. Your contributions will help Cisco maintain its leadership in AI infrastructure development and influence the broader AI and machine learning community. Key Responsibilities: - Design and develop node-level infrastructure components to support high-performance AI workloads. - Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs. - Minimize downtime through seamless config and upgrade architecture for software components. - Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators. - Develop and deploy efficient telemetry collection systems for nodes and hardware components without impacting workload performance. - Work with distributed system fundamentals to ensure scalability, resilience, and reliability. - Collaborate across teams and time zones to shape the overall direction of AI infrastructure development and achieve shared goals. Minimum Qualifications: - Proficiency in programming languages such as Rust, C/C++, Golang, Python, or eBPF. - Strong understanding of Linux operating systems, including user space and kernel-level components. - Experience with Linux user space development, including packaging, logging, telemetry, and lifecycle management of processes. - Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs). - Strong debugging and problem-solving skills for complex system-level issues. - Bachelor's degree+ and relevant 5+ years of Engineering work experience. Preferred Qualifications: - Linux kernel and device driver hands-on expertise is a plus. - Experience in GPU programming and optimization, including CUDA, UCX is a plus. - Experience with high-speed data transfer technologies such as RDMA. - Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI. - Nvidia MIG and MPS concepts for managing GPU consumption. #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection we celebrate our employees" diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer 80 hours each year allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!,

One of our prestigious client is looking for to hire candidates for the below position Position Type : Sr. Data Scientist Years of Experience: 5 - 7 Years Number of positions: 2 nos Salary / CTC : upto 38 LPA (based on your current salary and on the interview evaluation) Job Summary Responsibilities: Help design and build the next iteration of process automation in Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in the areas of data mining, machine learning, statistics, and predictive analysis and modeling. Requirements: MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 5 years related, professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. We should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with MLOps will be preferred. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with Java and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architecture ================================================================= Please provide us the following information. along with your updated resume: Your Total Experience: Your Relevant Development Experience in Java: Your Relevant Development Experience in Scala programming: Your Relevant Development Experience with Docker: Your Relevant Development Experience with GIS data: Your Relevant Development Experience with NoSQL (i.e. DynamoDB): Your Relevant Experience with GPU programming (CUDA or OpenCL) on GPU accelerator architecture: Your latest Education with year of passing/percentage: Your Certification (any): If yes, Provide the your code or share the Certication copy: Your Notice Period: Is Buyout option available (yes/no): if yes, Do mention the Buyout notice period amount: Your Current Location: Your Preferred Location: Work from Office / Hybrid: Your Current Salary : Your Expected Salary : Any active offer (yes/no) : If yes, do mention your current offered salary details / offered company name : Your Preferred Interview Date / Time:

Strong programming experience in Python, Solid background in deep learning, CNNs, and transfer learning and Machine learning basics, object detection, classification, segmentation, PyTorch, TensorFlow, and ONNX, GPU acceleration (CUDA, cuDNN).

Python, Deep Learning, Object Detection, Classification, Segmentation., GPU acceleration (CUDA, cuDNN). Model Optimization (pruning, quantization), deploying models to edge devices. Required Candidate profile willingness to explore and contribute to Generative AI and cloud-based AI solutions, C/C++., AWS Cloud AI/ML tools, exposure to GenAI frameworks like OpenAI, Stable Diffusion

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extensionall tailored to the complexities of industrial environments. Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Work on AI-driven projects that drive real change across industries and improve lives. We are looking for a highly skilled Computer Vision Engineer to join our internal product development team in Bengaluru. As a Computer Vision Engineer, you will be responsible for designing, developing, and implementing advanced computer vision algorithms and systems that enable machines to interpret and understand visual information from the industrial world. The Industrial Computer Vision team addresses hard, novel challenges that arise in product development. You'll bring your knowledge and proven machine learning expertise to develop cutting edge solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of the intersection of Machine Vision and Software Engineering. You should have the ability, inclination, and experience to conduct research that solves practical problems and work closely with research colleagues and customers. Your role will involve researching the latest advancements in computer vision and machine learning, prototyping new ideas, and deploying scalable solutions into production environments. Key responsibilities include developing and optimizing computer vision models, integrating vision systems into real-time applications, evaluating model performance, conducting error analysis, and continuously improving the accuracy and efficiency of vision systems. You should have a strong background in computer vision, deep learning, and software development, along with a passion for solving complex problems and pushing the boundaries of what machines can see and understand. Independently and effectively engage within the internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge Machine vision technology. Strong programming skills in C++, Python, experience in Deep Learning algorithms, GPU programming, familiarity with cloud platforms like AWS or Azure, and preferably experience in YOLO object detection algorithm or similar Convolutional Neural Network algorithms are desirable. Strong written and verbal communications skills and prior experience in cutting-edge technologies with real-world impact across industries are preferred. If you are passionate about computer vision and want to be part of a dynamic and innovative team, we encourage you to apply. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.,

You will be an integral part of TuriyamAI's team, focused on developing and optimizing math libraries for AI applications on our next-generation AI hardware. Your role will involve collaborating with hardware and software developers to ensure seamless integration of math libraries, as well as staying updated with the latest advancements in AI and math library development. Additionally, you will be responsible for designing, optimizing, and validating math libraries to achieve hyper-optimized solutions for AI workloads. To excel in this position, you should possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Mathematics, Computer Engineering, or a related field, along with at least 5 years of proven experience in developing high-performance math libraries, preferably for AI applications. Experience with GPU or AI accelerator programming, familiarity with linear algebra, calculus, probability, and statistics libraries, as well as an understanding of HW architecture are key requirements for this role. Strong problem-solving skills, the ability to work in a fast-paced environment, and a willingness to learn new hardware architecture are also essential. Preferred qualifications include familiarity with machine learning frameworks such as PyTorch, knowledge of compiler technology fundamentals, kernel fusion techniques, assembly programming, and low-level optimizations. In return, TuriyamAI offers a competitive salary and benefits package, the opportunity to work on cutting-edge AI technology, a collaborative and dynamic work environment, as well as professional growth and development opportunities. If you are excited about the prospect of contributing to the future of AI computing and possess the required qualifications and experience, we invite you to submit your resume and a cover letter to careers@turiyamai.com.,

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension - all tailored to the complexities of industrial environments. Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Work on AI-driven projects that drive real change across industries and improve lives. We are looking for a highly skilled Computer Vision Engineer to join our internal product development team. As a Computer Vision Engineer, you will be responsible for designing, developing, and implementing advanced computer vision algorithms and systems that enable machines to interpret and understand visual information from the industrial world. The Industrial Computer Vision team addresses hard, novel challenges that arise in product development. As a Computer Vision Engineer, you'll bring your knowledge and proven machine learning expertise to develop cutting edge solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of the intersection of Machine Vision and Software Engineering. You shall have the ability, inclination, and experience to conduct research that solves practical problems. They have the communication skills to work closely with both research colleagues and customers. You should have a strong background in computer vision, deep learning, and software development, along with a passion for solving complex problems and pushing the boundaries of what machines can see and understand. Independently and effectively engage within the internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge Machine vision technology. Conduct research and create models for commercial and industrial applications in health and safety e.g. based on computer vision. Your role will involve researching the latest advancements in computer vision and machine learning, prototyping new ideas, and deploying scalable solutions into production environments. Work with the team to propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals. Key responsibilities include developing and optimizing computer vision models; integrating vision systems into real-time applications. You will also be expected to evaluate model performance, conduct error analysis, and continuously improve the accuracy and efficiency of vision systems. You should have a minimum of 2 years of experience, ideally with a degree in Computer Science, Electrical Engineering, or a related field, focusing on computer vision or machine learning. Strong programming skills in C++ and Python are required, along with experience in Deep Learning algorithms and GPU programming. Familiarity with cloud platforms such as AWS or Azure is highly desirable. Experience in YOLO object detection algorithm or similar Convolutional Neural Network algorithms is preferred. Strong written and verbal communication skills are necessary to translate complex technical topics to internal and external stakeholders. Prior experience in cutting-edge technologies with real-world impact across industries like autonomous vehicles, healthcare, robotics, and augmented reality is a plus. If you are passionate about computer vision and want to be part of a dynamic and innovative team, we encourage you to apply. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.,

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are looking for Developer Advocates to enable developers building with generative AI and AI-driven hardware applications. You will engage with the community, create resources to onboard developers on our platforms. Qualcomm products touch multiple industries and applications. These applications span across mobile, laptops, mixed-reality, robotics, industrial IoT, among others. You will closely collaborate with product, e ngineering and regional sales teams to drive awareness and engagement for our platforms. You are a builder. You love to write code, more so, bring AI models to various a pplications. You can effortlessly integrate open - source models (Large or small), distill ed models and embed them in application s . T hese could be language-based u s e-cases , computer-vision, audio or other applied areas of AI. You are a great community builder. You like to network, engage, ideate and help the ecosystem realize their development goals. You are a constant learner, you thrive on writing code, content, documentatio n, videos that enhances development experience for developers writing on Qualcomm hardware. Your experience and learnings from the community will drive product improvements. You will influence future feature prioritization s , improve tooling , foster ideas for collaboration. In the process, you will end up creating a rich repository of community contributed sample applications, content, tutorial, etc. You will also engage with community builders, influencers to seed sub-ecosystems for constant engagement and outreach. The i deal candidate has e xperience in building end to end applications for one or more of Computer Vision, Audio, LVM, LLM use cases using AI/ML tools/workflow on Linux/ Windows for CPU, GPU and AI accelerators . Responsibilities Develop plans to engage with external developers focused on at least one of the following application areasIoT, Automotive, Microsoft device ecosystem. Cross-functional collaboration across software, hardware engineering, developer marketing and product management teams. Understand trends in ML model design, and workflow through application developer engagements and latest academic research . Develop and ensure sample application comprehensiveness for AI on Linux/ Windows on Snapdragon to cover the gamut of models used, and use-cases including use of additional snapdragon optimized libraries outside of Snapdragon AI functions. Interface with 3rd party application developers and other cross-site and cross-functional teams to arrive at easy-to-use sample application, and documentation that are directly leveraged by 3rd party app developers for Windows on Snapdragon Contribute new features and designs to the Qualcomm AI toolkit to enhance the workflow experience of Application Developers Minimum Qualifications Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. and 6 + years of Software Engineering, Systems Engineering, or related work experience. Preferred Qualifications Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch ), GPU programming, and parallel computing. Experience with large language models/foundational models' development and deployment a plus Good Understanding of complete AI Software stack and familiarity with AI performance tuning techniques on GPU, NPU based systems Experience with development of end-to-end AI application on Windows using Windows ML, DirectML Experience in full workflow involved in training and deployment of models on servers and porting to client Windows compute platforms involving model inference deployment and performance tuning Proficiency in programming languages such as Python, C++ Excellent communication skills to articulate complex technical concepts to non-technical and technical stakeholders. Strong leadership abilities to motivate and guide development teams. Detail-oriented with strong problem-solving, analytical, and debugging skills Demonstrated ability to learn, think and adapt in a fast-changing environment Familiarity with software development methodologies, version control systems, and agile project management practices. 12+ years’ experience in application development involving High Performance Computing with 5+ years in AI application development on Windows Bachelors in Computer Science or Electrical Engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Experience in Display Device Driver Development is must Strong Experience in C Programming and Data structure Strong experience in Linux BSP/Driver Development Strong Experience in RTOS/Zephyr and Low Level BareMetal Driver/Firmware is a plus Expertise in HDMI driver and protocol, DRM Analytical mindset and critical thinking Excellent communication and interpersonal skills

CUDA is a must JD For Senior / Lead Engineer (HPC GPU):- As a Senior / Team Lead (HPC) you will provide leadership in designing and implementing groundbreaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models. As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity modelling, and growth planning across our products and services. As an architect you are responsible for converting business needs associated with AI-ML algorithms in to a set of product goals covering workload scenarios, end user expectations, compute infrastructure and time of execution; this should lead to a plan for making the algorithms production ready Benchmark and optimise the Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs. Optimize algorithms for optimal performance on the GPU tensor cores. Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment. Mentor and manage the reporting team Skills Required BE / MS or PhD in Computer Science, Electrical Engineering, or related field. A strong background in deployment of complex deep learning architectures . 3+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch): Numerical analysis, Performance analysis, Model compression and Optimization & Computer architecture. Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills. Hands-on expertise with PyTorch, TensorRT, CuDNN Hand-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud. Proficient in Python programming and bash scripting. Proficient in Windows, Ubuntu and Centos operating systems. Excellent communication and collaboration skills. Self-motivated and able to find creative practical solutions to problems. Good to have Hands-on experience with HPC cluster job schedulers such as Kubernetes, SLURM, LSF. Familiarity with cloud computing architectures Hands-on experience with Software Defined Networking and HPC cluster networking. Working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt. Understanding of fast, distributed storage systems and Linux file systems for HPC workloads.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis. Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal) Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Excellent verbal, written, and presentation skills Ability to work effectively as part of a team Knowledge of OOP principles Knowledge of GPU Programming / Architecture is a bonus Minimum Education Required : Masters/Bachelor’s Computer Engineering, Electrical Engineering or Engineering Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Minimum Qualifications: Experienced candidates (8-12 years) are welcome to apply. Industry experience in image processing, computer vision, machine learning and video domain. Strong motivation and ability in learning new subjects especially in the field of artificial intelligence Excellent understanding of image processing and computer vision fundamentals. Strong programming skills in C\C++, Python, OpenGL Strong multithreading, and OS concepts\fundamentals. Collaborate with cross-functional teams to design, implement, and debug machine learning software applications Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal). Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Advanced understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Proficient in OOP principles Knowledge of GPU Programming / Architecture is a bonus Ability to work effectively as part of a global team Responsibilities: The successful candidate(s) will be responsible for: Leverage advanced computer architecture knowledge for analyzing and optimizing custom processors/accelerators Develop and train data-driven architecture models, correlating these models, and performing system-level architecture analysis. Design, develop and test advanced solutions for AI processors. Work independently with minimal supervision Provide guidance/supervision to team members Education requirements: RequiredMaster’s Computer Engineering and/or Electrical / Electronic Engineering PreferredPhD in Computer Engineering and/or Electrical / Electronic Engineering (focus on Image processing, Computer vision, Machine learning) Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Python, Deep Learning, Object Detection, Classification, Segmentation., GPU acceleration (CUDA, cuDNN). Model Optimization (pruning, quantization), deploying models to edge devices. Required Candidate profile willingness to explore and contribute to Generative AI and cloud-based AI solutions, C/C++., AWS Cloud AI/ML tools, exposure to GenAI frameworks like OpenAI, Stable Diffusion

raja.a@honeybeetechsolutions.com resume to FTE CLIENT PROXELERA / SASKEN 1. Strong hands-on experience in Linux (preferably Ubuntu or embedded Linux) 2. Experience in benchmarking CPU and GPU performance 3. Exposure to Android (performance optimization, debugging, or system-level work) 4. Experience working on x86 or ARM SoCs (e.g., AMD, Intel, Qualcomm, NVIDIA) 5. Demonstrated execution mindset individuals who are curious, quick learners, self-driven, and bring strong ownership and focus 6. 8+ years of relevant industry experience 7. Immediate availability or ability to onboard at short notice

Strong programming experience in Python, Solid background in deep learning, CNNs, and transfer learning and Machine learning basics, object detection, classification, segmentation, PyTorch, TensorFlow, and ONNX, GPU acceleration (CUDA, cuDNN).

Embedded platform development (Linux based distributions) & maintenance Linux build system expertise, packaging (RPM specification), build automation tool System Software (File system, Memory Management, Thread programming, Process Management, Platform Driver development/Integration, IPC, logging) Understanding about Compiler, toolchain development Different CPU Scheduling concept (SMP, HMP, FIFO, RT) System Level IPC expertise (User space, applications, middleware, kernel), logging framework System Level+B9 policies (memory, scheduler, CPU, hotplug) Platform porting & Reference Platform development on multiple chip-set Defect root-cause analysis & debugging utils (A9:G9gdb, objdump, Backtrace/Coredump analysis etc.) Performance/resource benchmarking & optimization (system boot-up/application launching/memory utilization etc.) - System Level Profiling, Tracing Full Software stack verification & Release management Platform Certification & Compliance Understanding

Blubridge is an LLM research lab focused on building next-generation Large Language Models and foundational AI systems. Alongside our research, we operate in the AI Consulting domain, delivering innovative AI solutions. We are rapidly scaling our GPU infrastructure and seeking a skilled Hardware/Systems Engineer to lead our compute backbone. Key Responsibilities: Architect, configure, and maintain high-performance GPU systems (H100, H200, B200, etc.) Design compute nodes and interconnects using PCIe, SXM, NVLink, InfiniBand Manage data center setups: rack layout, cooling, power, UPS/load balancing Build and maintain storage solutions (NVMe RAID, NAS/SAN) for AI workloads Benchmark and optimize hardware utilization (throughput, latency, bottlenecks) Collaborate with AI researchers to scale and troubleshoot workloads Manage Linux servers (Ubuntu, CentOS), BIOS tuning, firmware upgrades Monitor and automate compute cluster uptime and maintenance Required Qualifications & Skills: B.E/B.Tech in ECE, CSE, IT, Mechatronics, Robotics or related fields (2024/2025 pass-outs) Experience or projects in hardware system design, HPC setup, AI infrastructure Understanding of GPU architectures (PCIe vs. SXM, NVLink, GPU clustering) Familiarity with AMD EPYC/Intel Xeon, NVMe storage, 25G+ networking Knowledge of rack integration, thermal management, power planning Proficient in Linux server deployment and hardware automation Preferred: Experience with cloud/hybrid GPU infrastructure (AWS, OCI) Contributions to open hardware or benchmarking communities What We Offer: Ownership of AI labs hardware backbone Access to latest GPUs and enterprise-grade infrastructure Collaborative R&D environment Competitive salary and performance incentives Opportunity to impact AI infrastructure and consulting projects Apply now to join an innovative AI research and consulting team driving next-gen foundational models!

Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal) Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Excellent verbal, written, and presentation skills Ability to work effectively as part of a team Knowledge of OOP principles Knowledge of GPU Programming / Architecture is a bonus Minimum Education Required Masters/Bachelors Computer Engineering, Electrical Engineering or Engineering Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devices? Be part of the group that is working on technology that will bring "Cognition" to all connected devicesThat means devices that don"™t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis. Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal) Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Excellent verbal, written, and presentation skills Ability to work effectively as part of a team Knowledge of OOP principles Knowledge of GPU Programming / Architecture is a bonus Minimum Education Required : Masters/Bachelor"™s Computer Engineering, Electrical Engineering or Engineering Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Develop and optimize HPC applications and algorithms using CUDA, MPI, OpenMP on Azure and cluster systems. Support scientific teams by modernizing codebases and enabling GPU acceleration. Required Candidate profile Software engineer with 5+ years in HPC programming, scientific code optimization, GPU computing, and collaboration with research teams.