241 Opencl Jobs - Page 8

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: The Qualcomm Adreno GPU Software team is looking for talented engineers to work on next generation GPU Developer Tools. Responsibilities include the design and development of profiling and performance analysis tools, GPU debugging tools, collaborating with GPU hardware and software teams on performance validation and analysis, new feature development, debugging issues, optimizing for the user experience, and working with the developer ecosystem, our partners, and OEMs. This role is an opportunity to shape how developers optimize for the Snapdragon Adreno GPU and have insight into next generation GPU hardware design. Our efforts in GPU Developer Tools create opportunities for our team members to learn new technologies and engage in full stack development ranging from user interfaces to graphics driver instrumentation. Experience in developing real-time software applications, graphics and/or GPGPU applications, games, middleware, drivers, or developer tools is a big plus. In this role, you will: Design and develop profiling, performance analysis, and debugging tools features. Collaborate with GPU hardware and software teams on performance validation and analysis. Debug issues, optimize for the user experience, and work with the developer ecosystem, partners, and OEMs. Shape how developers optimize for the Snapdragon Adreno GPU and gain insight into next generation GPU hardware design. The ideal candidate will meet two or more qualifications:10 years of professional experience Extensive programming knowledge in C/C++ Strong knowledge of GPU hardware and graphics concepts Demonstrated ability to deliver software features and products while ensuring the highest standards of quality and innovation One or more of the following qualifications is a plus: Experience developing graphics applications with Vulkan, DirectX, Metal, OpenGL, WebGL or graphics development through Unity, Unreal Engine, Godot or a comparable graphics or game engine Experience developing GPU computing applications with OpenCL, CUDA, SYCL etc. Experience debugging, optimizing, profiling, and tuning real-time graphics and/or compute applications Experience with game engines, graphics frameworks, or general computing frameworks leveraging the GPU Knowledge of recent graphics trends, especially ray tracing and emerging capabilities such as mesh shading and workgraphs Familiarity with Graphics Profilers and Debuggers such as Nsight, PIX, GPA, RenderDoc, Radeon Profilers, GfxReconstruct Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Looking for "ML framework and AI compiler Engineer" responsible for Designing, implementing, and deploying machine learning models using PyTorch Focusing on backend infrastructure and system architecture. Responsibilities often include developing framework, integrating with other AI tools, and ensuring scalability and reliability. Here's a more detailed breakdown of what you might see in such a job description: Key Responsibilities: Model Development and Deployment Designing, building, and deploying AI models, particularly those leveraging PyTorch for deep learning. Backend Infrastructure Developing and maintaining the backend systems that power AI applications, including data ingestion, processing, and storage. System Architecture Designing scalable and high-performance backend architectures to handle AI workloads. Model Optimization Optimizing model performance for speed, accuracy, and resource efficiency. Integration Integrating AI models with other systems and applications. API Development Creating and maintaining APIs for communication between frontend and backend components. Data Handling Managing data ingestion, preprocessing, and storage for AI training and inference. Collaboration Working with data scientists, product managers, and other engineers to bring AI solutions to life. Tools, Technologies, Skills and Programming: C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends. Scripting: Strong expertise in Python with design, develop, release and maintain projects. AI Frameworks: Familiarity with other AI frameworks like PyTorch, TensorFlow, Hugging Face, etc. Machine Learning Knowledge: Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to new trends. Expertise to deep learning accelerator programming (GPU, NPU). Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus. Experience with deep leaning compilers like Glow, TVM "etc is a plus. 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.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: General Summary Qualcomms Graphics PSE team is a part of the Graphics System team and is responsible for the overall quality of the Graphics IP in silicon. As a member of our Graphics PSE team, you will be working closely with architects, designers, verification, and software engineers to take the GPU from pre-Sil stage to tape out to silicon bring-up and to CS(Customer Samples). Job Functions/General Responsibilities In this position, you will be responsible for developing graphics applications using graphics API like DirectX, OpenGL ES , Vulkan, improving coverage, creating GPU bring-up test-plans and test methodologies. Analyzing and enabling new games and benchmark in pre-Si environment. Provide debug support in pre-Silicon environment (functional model) and driving end to end solutions for silicon bring-up issues including failure debug. We are looking for highly motivated engineers that enjoy working in a fast-paced environment with minimal guidance. Candidates must have strong programming, communication and teamwork skills and approach difficult challenges as learning opportunities. Critical "Must Have" skills/experience for role Strong programming in C/C++. GPU APIs knowledge (Vulkan/Direct3D/OpenGL/Direct X / OpenCL etc.) GPU architecture. Strong analytical skill. 4+ years of relevant experience. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 10+ years of Systems Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field and 5+ year of Systems Engineering or related work experience. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Preferred skills/experience for role Experience with at least one ofPerl, Python, TCL Games/graphics application development. OpenCL/CUDA knowledge. Graphics driver development or modelling experience. Post-silicon enablement and bring-up. Prior experience in working in emulation environments for development and debug. Debug tools including JTAG and kernel debuggers

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Adreno GPU has been the industry leading mobile graphics solution and has been the dominating GPU in todays smart phone market. Our power efficient GPU solution is fundamental to enable the exciting new markets like VR, IoT, AI, drone, autonomous driving etc. We are looking for talented Graphics System engineers to create world class GPU products to enable high performance graphics and compute with low power consumption. As a member of our Graphics System team, you will help create the simulator of our next generation graphics core for mobile devices. In this position, you will be responsible for development of the GPU architecture design using advanced modeling methodologies. You are expected to understand the design and implementation, define the development scope, develop the algorithm for some functional blocks, and verify the correctness of the design. You will be working with architects, designers, driver, and compiler teams to accomplish your tasks. Develop bitwise accurate functional models (C-model) (by using C/C++ etc.) to simulate our new architectures and solutions Develop solid test suites and perform functional verification & validation with the C-Model and RTL simulation Perform conformance tests, stress & random tests and stabilize GPUs & Compute systems Additional Additional Critical "Must Have" skills/experience for role Good understanding of modern 3D graphics pipeline. Programming experience in graphics or compute using API like DirectX, OpenGL OpenCL, Vulkan. Programming experience in modeling using C++ and good understanding of computer/GPU architecture and pipeline. Debugging and problem-solving skills. Ability to write clean, professional & maintainable code in C++. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Preferred skills/experience for role Knowledge on graphics/ray-tracing/compute architecture & pipeline (e.g., DirectX, OpenGL, OpenCL, Vulkan, etc.) C/C++/Perl/Python programming language Good communication skills and ability & desire to work as a team player. SystemC and TLM experience are desirable Agile development methodology experience is preferable Graphics & compute driver or compiler experience is a plus Verilog/Vera/System Verilog experience is a plus Required : Minimum Qualifications - Bachelor's or higher degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. 8+ years Systems Engineering or related work experience Preferred Qualifications - Master's or higher degree in Computer Engineering or Computer Science. 7+ years Systems Engineering or related work experience

About Blaize Blaize provides a full-stack programmable processor architecture suite and low-code/no-code software platform that enables AI processing solutions for high-performance computing at the network’s edge and in the data center. Blaize solutions deliver real-time insights and decision-making capabilities at low power consumption, high efficiency, minimal size and low cost. Blaize has raised over $330 million from strategic investors such as DENSO, Mercedes-Benz AG, Magna, and Samsung and financial investors such as Franklin Templeton, Temasek, GGV, Bess Ventures, BurTech LP LLC, Rizvi Traverse, and Ava Investors. Headquartered in El Dorado Hills (Calif.), Blaize has more than 200 employees worldwide with teams in San Jose (Calif.) and Cary (N.C.), and subsidiaries in Hyderabad (India), Leeds and Kings Langley (UK), and Abu Dhabi (UAE). Job Title: Software Engineer II Location: Hyderabad, India Job Description: The compiler team at Blaize works on extending LLVM for Blaize’s needs along with developing compiler-based tooling for the wider Blaize SDK team. This candidate will be responsible for extending and improving LLVM and Clang for Blaize in areas such as OpenCL language extensions, IR code analysis, optimization development and addressing performance and correctness issues. The candidate will also establish and uphold stringent quality development and verification processes and standards in the development of highly dependable products that comply with all applicable requirements. Will ensure that the project is completed on time and meeting all the requirements. This candidate will also be responsible for stake holder engagement related to the function, delivery and support of the deliverables of compiler team at Blaize and successfully support the performance of the team. JOB RESPONSIBILITIES You will be responsible for identifying, prioritizing and executing tasks in the software development life cycle. You will have to collaborate with the internal teams and vendors to fix and improve the Blaize SDK. Ensuring the quality of our software releases through testing strategy of new features and changes. Understanding the requirements against sub-components and crucial features of the Blaize SDK. Developing comprehensive test plans, and collaborating with the automation team to ensure proper regression test coverage EDUCATION AND EXPERIENCE A bachelor’s degree in computer science. At least 3+ years of experience in software development One or more years of experience in compiler development preferred . One should have a strong knowledge of data structures, algorithms, and computer science fundamentals. Should have a strong knowledge of coding and good problem-solving skills. Experience with giving and receiving regular code review. REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES Understanding of Computer architecture, graph processing and familiarity with assembly programming. Knowledge of traditional compiler optimization algorithms and parser construction is preferred Should have strong analytic and debugging skills Familiarity with AI/MLs is also beneficial. Knowledge of test automation tools and regression setup. C/C++ or Python based software verification experience. Blaize is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees, and we honor requests for preferred pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

Experience: 4+ years Requirements: Excellent knowledge of computer vision concepts, including but not limited to Image Classification, Object Detection, and Semantic Segmentation, developed using state-of-the-art deep learning algorithms. Hands-on experience developing efficient and real-time convolutional neural network (CNN) models for computer vision tasks. Strong proficiency in at least one of the deep learning frameworks, such as PyTorch, TensorFlow, or Caffe, with the ability to apply them to computer vision problems. Quick prototyping skills in Python and coding and debugging proficiency in C++. Good communication and collaboration skills to work effectively in a team and communicate complex technical concepts. Qualifications: A Ph.D. degree (including candidates at various stages of their Ph.D., such as thesis submission, thesis submitted, degree awaited, synopsis seminar completed, defense completed) in Deep Learning with hands-on coding skills and a passion for an industrial career will be preferred. Master's or Bachelor's degree with thorough industrial work experience in developing computer vision applications using deep learning. Postgraduates or Undergraduates with a strong academic background in Deep Learning, Computer Vision, or related fields, and demonstrated coding skills, are also encouraged to apply. Preferred: Publications in top-tier computer vision conferences like CVPR, ICCV, ECCV, or major AI conferences like NeurIPS. Knowledge of computer vision libraries and tools, including OpenCV and DLib, and a solid understanding of image processing and computer vision fundamentals. Hands-on experience with model compression and pruning techniques in deep learning. Good exposure to various deep learning architectures, such as Artificial Neural Networks (ANN), Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) networks. Familiarity with GPU programming (e.g., CUDA, OpenCL) for efficient deep-learning computations. Pay is competitive as per market standards. Show more Show less

NVIDIA GPUs have ignited a new era of computing with the advent of AI, for which the GPU acts as the brain of computers. Robotics, self-driving cars, industrial automation, and many other domains benefit from the computing power of GPUs. The high-quality and robust GPU software stack simplifies the realization of complex use cases. This has been possible because of the amazing group of people working here at NVIDIA who made this happen. We are now looking for a Senior System Software Engineer in Compute System software team to work on the architecture and design of the user mode drivers that interact with GPU, DLA and other Tegra compute engines. What You’ll Be Doing You will be involved in the definition, architectural design and analysis, and development of groundbreaking functional safety software, with an opportunity to shape the future of parallel computation on GPUs Modify complex software designed for diverse domains and fortify it to meet the standards vital for deployment in critical automotive sectors, while also successfully acquiring safety certification. Participate in development of proprietary and open computing standards and contribute to the development of next generation GPUs in collaboration with architecture and HW engineers at NVIDIA Inculcate a culture of high quality software development in the team, mentor other engineers What We Need To See BS/MS degree in Computer Science or related field or equivalent experience Passionate about high quality software engineering, and a desire to contribute towards creating better software Fair understanding of computer architecture, OS fundamentals 5+ years of proven experience in complex software development, design, and analysis A strong teammate; self-motivated and good demeanor A strong desire to learn, grow and create Ways To Stand Out From The Crowd Previous experience with Parallel Programming, particularly in CUDA, OpenCL, or Renderscript Prior experience with developing safety critical software, or hardening and taking complex software through software audits Hands-on background with software safety analyses, such as FMEA, FTA, ETA, HAZOP, DFA/coexistence analysis/freedom from interference, etc Hands-on experience with various tools and standards for better software engineering at the architectural, design, and code levels NVIDIA is committed to cultivating 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. JR1991381 Show more Show less

Job Requirements Key Responsibilities: Implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS. Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems. Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data. Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM. Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors. Contribute to the development of robust motion planning and navigation systems. Work with software stacks like ROS2 (Robot Operating System 2) for integration and deployment of perception algorithms. Develop, test, and deploy machine learning models for perception tasks (e.g., object detection, segmentation). Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions. Stay up-to-date with industry trends, research papers, and emerging technologies to innovate and improve perception systems. Work Experience Required Skills: Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities. Understanding of LiDAR technology, point cloud data structures, and processing techniques Proficiency in programming languages such as C/C++, Python, or similar. In-depth knowledge of sensor fusion techniques (Kalman Filters, Extended Kalman Filters, Unscented Kalman Filters, Particle Filters) for combining data from LiDAR, camera, radar, and GNSS. Solid background in computer vision techniques (e.g., object detection, semantic segmentation, feature extraction). Experience in deep learning frameworks such as TensorFlow or PyTorch for object detection and segmentation tasks. Knowledge of SLAM (Simultaneous Localization and Mapping) and localization algorithms, including GraphSLAM, LIO-SAM, GTSAM, ORB-SLAM, and related technologies. Familiarity with ROS2 for the development of perception-based robotic systems and autonomous vehicles. Experience with multi-object tracking algorithms such as DeepSORT, SORT, and Kalman Filter-based tracking. Strong understanding of real-time systems and optimizing for low-latency processing. Proficiency in sensor calibration techniques and algorithms for both intrinsic and extrinsic calibration of LiDAR, cameras, radar, and GNSS. Hands-on experience with PCL (Point Cloud Library) and OpenCV for 3D point cloud and image processing. Experience with parallel computing and optimizing algorithms for real-time performance (e.g., CUDA, OpenCL). Experience with object detection models such as YOLO , Faster R-CNN , SSD , or similar. Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Applications Engineering General Summary: Job Overview This is a challenging position that requires the candidate to learn and internalize Qualcomm Adreno Graphics and its concepts very quickly. The candidate will support Graphics (GPU) issues from Kernel driver, user space, Debian/Ubuntu/Yoco Graphics stack issues and application created by Qualcomm’s OEMs and ISVs . It requires the ability to understand and explain technical information in a concise manner with strong communication skills between customers and developers. Trouble shoot issues reported by customers across the Graphics functional area on the following sub systems: - OpenGL ES, OpenCL Expertise on Graphics and UI Frameworks in Embedded Linux like Co-work with OEM, ISVs and Algorithm vendors to debug power, performance and functional issues. Follow established software processes and procedures and contribute towards improving software quality. Be familiar with Android graphics framework and Linux Kernel, experienced in resolving graphics related issues. Coordinate with internal/international technology teams about issue fixes and solutions Minimum Qualifications Knowledge or experience of GPU programing like OpenGL ES or OpenCL or Vulkan is a minimum requirement. Python application development, GStreamer , UI frameworks like QT,GTK,Wayland Weston. Knowledge on Qualcomm Linux Android and its Graphics stack -or- Qualcomm LE (Yocto) based implementation and its display/graphics rendering stack. Strong skill of software integration, optimization, and debugging on embedded RTOS (Real Time Operating Systems) - Strong C/C++/ Java development and debugging skills on embedded systems - - Good communication & interpersonal skills for customer-facing role - Self-starter with motivation and initiative - Flexibility to learn and work on new Multimedia area - Ability to work as part of a dedicated project team and independently - Candidate should have good written communication skills and interpersonal skills. Be flexible to assignments and easily work in a team environment. Preferred Qualifications Experience in Yocto based Embedded systems development. Experience with GPU and UI on Linux will be considered a strong supplementary skill. Experience in resource constrained environment like NXP FRDM, NVIDIA ORIN , RaspberryPI or other embedded SOMs will be a good to have skill. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of any combination of academic and/or work experience with debugging techniques. 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. 3075341 Show more Show less

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_ The Role AMD is looking for a software engineer who is passionate about expanding AI models on AMD GPUs, and improving the performance of key applications 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 Person Strong technical and analytical skills in C++/Python AI development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort. Key Responsibilities Enable and optimize key AI models (LLM, Vision, MultiModal, etc.) on AMD GPUs Optimize AI frameworks like PyTorch, TensorFlow, etc. on AMD GPUs in upstream open-source repositories Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for AI Work with open-source framework maintainers to understand their requirements - and have your code changes integrated upstream Optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, etc.) with specialized teams Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems Apply your knowledge of software engineering best practices Preferred Experience Knowledge of GPU computing (HIP, CUDA, OpenCL) AI model experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. Experiences to run workloads on large scale heterogeneous cluster is a plus Experiences to optimize GPU kernels for performance is a plus Academic Credentials Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field 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

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_ 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 Performance analysis and software optimization Build and deploy software for the most advanced HPC (High Performance Compute), data science, Virtualization, and machine learning platforms in the world Define/develop/execute regression test models and track the results Drive innovation in production software environments Combine advanced software engineering skills with a drive to explore novel approaches to solve important problems in heterogeneous computing at the large scales Evaluate and review of existing processes and continuously strive to optimize the workflow PREFERRED EXPERIENCE: (3 to 15 years) Good understanding of test lifecycle, QA process & terminology. Strong knowledge of Device drivers, graphics, multimedia, Codec. Test Execution Experience in an automation lab with multiple systems. Define, develop, execute functional/performance/load tests, and integrate them with automated test systems. Establishing and sharing best practices, designing, and executing a robust test strategy. Proficiency in at least one programming language preferably Python. Strong understanding & Hands-on exp. with Linux OS internals, device manager. Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level. Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS. Understanding of parallel programming, ideally OpenCL, ROCm, CUDA, and OpenACC is a plus. Understanding machine learning, artificial intelligence, computer vision technologies is a plus. Strong analysis, problem-solving & interpersonal skills. Good verbal & written communication skill is a must. Good attitude, result-driven & ability to deliver on next-gen technology. Academic Credentials Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an 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

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND, Chennai,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Technical Lead - Software About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. Our Team Our team is developing a high-performance computing solution for low-latency and high throughput image processing and deep-learning workloads that will enable our Chip Manufacturing process control equipment to offer differentiated value to our customers. Your Opportunity As a technical lead, you will get the opportunity to grow in the field of high-performance computing, complex system design and low-level optimizations for better cost of ownership. Roles and Responsibility As a technical lead, you will be responsible for designing and implementing High performance computing software solutions for our organization. You will work closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand requirements and translate them into architectural/software designs that meet business needs. You will be a subject Matter expert to unblock software engineers in the HPC domain. You will be expected to profile systems to understand bottlenecks, optimize workflows and code and processes to improve cost of ownership. Identify and mitigate technical risks and issues throughout the software development lifecycle. Lead the design and implementation of complex software components and systems. Ensure that software systems are scalable, reliable, and maintainable. Mentor and coach junior software engineers. Your primary focus will be on implementing features of high quality with maintainable and extendable code following software development best practices Our Ideal Candidate Someone who has the drive and passion to learn quickly, has the ability to multi-task and switch contexts based on business needs. Qualifications 5 to 10 years of experience in Design and coding in C/C++ preferably in Linux Environment. Very good knowledge of Data structures, Algorithms and Complexity analysis. In depth experience in Multi-threading, Thread Synchronization, Inter process communication, and Distributed computing fundamentals. Very Good knowledge of Operating systems internals (Linux Preferred), Networking and Storage systems. Experience in performance profiling at application and system level (e.g. vtune, Oprofiler, perf, Nividia Nsight etc.) Experience in low level code optimization techniques using Vectorization and Intrinsics, cache-aware programming, lock free data structures etc. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to mentor and coach junior team members. Experience in Agile development methodologies. Additional Qualifications: Experience in GPU programming using CUDA, OpenMP, OpenACC, OpenCL etc. Good Knowledge of Work-flow orchestration Software like Apache Airflow, Apache Spark, Apache storm or Intel TBB flowgraph etc. Experience in developing Distributed High Performance Computing software using Parallel programming frameworks like MPI, UCX etc. Experience in HPC Job-Scheduling and Cluster Management Software (SLURM, Torque, LSF etc.) Good knowledge of Low-latency and high-throughput data transfer technologies (RDMA, RoCE, InfiniBand) Familiarity with microservices architecture and containerization technologies (docker/singularity) and low latency Message queues. Education : Bachelors Degree or higher in Computer science or related Disciplines. Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Looking for “ML framework and AI compiler Engineer” responsible for Designing, implementing, and deploying machine learning models using PyTorch Focusing on backend infrastructure and system architecture. Responsibilities often include developing framework, integrating with other AI tools, and ensuring scalability and reliability. Here's a more detailed breakdown of what you might see in such a job description: Key Responsibilities: Model Development and Deployment: Designing, building, and deploying AI models, particularly those leveraging PyTorch for deep learning. Backend Infrastructure: Developing and maintaining the backend systems that power AI applications, including data ingestion, processing, and storage. System Architecture: Designing scalable and high-performance backend architectures to handle AI workloads. Model Optimization: Optimizing model performance for speed, accuracy, and resource efficiency. Integration: Integrating AI models with other systems and applications. API Development: Creating and maintaining APIs for communication between frontend and backend components. Data Handling: Managing data ingestion, preprocessing, and storage for AI training and inference. Collaboration: Working with data scientists, product managers, and other engineers to bring AI solutions to life. Tools, Technologies, Skills and Programming: C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends. Scripting: Strong expertise in Python with design, develop, release and maintain projects. AI Frameworks: Familiarity with other AI frameworks like PyTorch, TensorFlow, Hugging Face, etc. Machine Learning Knowledge: Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to new trends. Expertise to deep learning accelerator programming (GPU, NPU). Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus. Experience with deep leaning compilers like Glow, TVM …etc is a plus. 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. 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.

Senior Test Development Engineer Hyderabad, India Engineering 65460 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_ 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 #LI-NR1 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.

Sr Technical QA Engineer Hyderabad, India Engineering 65371 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_ Sr Technical QA 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: We are looking for an experienced Senior QA engineer with expertise in virtualization, hypervisors, GPU virtualization, and advanced I/O technologies. This role drives comprehensive feature validation and roadmap projects while ensuring robust quality assurance strategies across traditional and specialized virtual environments. Your remit will include validating GPU virtualization and the intricacies of SR-IOV (Single Root I/O Virtualization) and pass-through technologies, all crucial for delivering high-performance computing, AI, platform specific and data-intensive applications As a QA Tech lead, you will be the driving force behind the quality assurance process for our cutting-edge AI SDK products. You will drive accountability in development practices, audit CI processes, enforce stringent unit test code coverage, and oversee high-level functional test content execution. In addition, you must have hands-on development and validation expertise, including robust experience in SDK development and validation, as well as a deep understanding of AI/ML, GPU environments, and Linux systems. You will work directly with development teams—holding them accountable for maintaining and exceeding quality metrics—while also leading collaborative efforts with our Test Content Teams (TCT) and Automation groups to keep our product at the forefront of innovation. Key Responsibilities Establish and maintain high-quality standards by defining QA best practices and promoting a culture of accountability across development teams. Utilize your hands-on development knowledge to design integrated validation strategies that align with overall project goals. Collaborate directly with engineers, ensuring they deliver high-quality code that complies with established test coverage and CI/CD best practices. Define, monitor, and enforce high standards for unit test (UT) code coverage, ensuring that all critical functionalities are thoroughly validated. Oversee the execution of high-level functional tests, ensuring that software features and end-to-end user scenarios operate seamlessly. Drive the validation efforts for Software Development Kits (SDKs) by designing comprehensive test cases and testplans to verify functionality, performance, compatibility, and integration. Conduct regular audits of the Continuous Integration (CI) pipeline, ensuring that all code undergoes rigorous automated testing and validation before integration. Facilitate clear communication among development, QA, and product teams; provide actionable insights to continuously improve product quality. Work closely with the Test Content Team to align on test content strategies and ensure the execution aligns with product requirements. Actively participate participate in design and code reviews from a QA perspective to ensure quality is embedded in every stage of product development. Use your development and debugging expertise to assist in troubleshooting complex issues alongside the development teams. Apply your knowledge and experience in AI/ML to validate data models, performance, and integration within relevant projects. Excellent communication and leadership skills, with the capability to bridge efforts across development and QA teams to ensure quality and timely project delivery. Identify, propose, and implement process improvements to reduce the cycle time of testing phases and improve product quality. Serve as a trusted advisor to your peers and junior QA engineers, fostering a culture of accountability, quality, and continuous learning. Requirements Bachelor’s or master’s degree in computer science, Engineering, or a related field with 12+ yrs of related experience Demonstrated hands-on development expertise with practical experience in coding, debugging, and designing validation strategies. Deep understanding and experience with unit testing frameworks (such as JUnit, NUnit, LCOV, or similar code coverage tools). Extensive knowledge of CI/CD pipelines, unit testing frameworks, automated testing tools, and functional testing methodologies. Strong proficiency in SDK development and validation—proven ability to create and execute comprehensive test strategies that ensure robust and reliable APIs and libraries. In-depth understanding of AI/ML concepts and practical testing experience in data-driven, machine learning environments. Exposure to advanced test automation frameworks and willingness to explore new testing paradigms involving AI/ML and GPU-optimized processes. Hands-on experience working with GPU environments and optimizing tests for performance on hardware-accelerated systems. Strong proficiency in working within Linux environments (Ubuntu, CentOS, etc.). Familiarity with GPU computing technologies (e.g., ROCm, CUDA, OpenCL) for performance-critical applications. Demonstrable expertise with Docker containerization practices. Exposure to additional container orchestration tools like Kubernetes. Prior experience with AI/ML frameworks such as TensorFlow or PyTorch.is a plus Advanced scripting and programming skills in languages such as Python, C/C++, or similar Exceptional analytical, problem-solving, and communication skills. A self-driven, detail-oriented mindset with an ability to judiciously hold teams accountable. Comfort working independently in a fast-paced, dynamic environment. #LI-NR1 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.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Applications Engineering General Summary: Job Overview This is a challenging position that requires the candidate to learn and internalize Qualcomm Adreno Graphics and its concepts very quickly. The candidate will support Graphics (GPU) issues from Kernel driver, user space, Debian/Ubuntu/Yoco Graphics stack issues and application created by Qualcomm’s OEMs and ISVs . It requires the ability to understand and explain technical information in a concise manner with strong communication skills between customers and developers. Trouble shoot issues reported by customers across the Graphics functional area on the following sub systems: - OpenGL ES, OpenCL Expertise on Graphics and UI Frameworks in Embedded Linux like Co-work with OEM, ISVs and Algorithm vendors to debug power, performance and functional issues. Follow established software processes and procedures and contribute towards improving software quality. Be familiar with Android graphics framework and Linux Kernel, experienced in resolving graphics related issues. Coordinate with internal/international technology teams about issue fixes and solutions Minimum Qualifications Knowledge or experience of GPU programing like OpenGL ES or OpenCL or Vulkan is a minimum requirement. Python application development, GStreamer , UI frameworks like QT,GTK,Wayland Weston. - Knowledge on Qualcomm Linux Android and its Graphics stack -or- Qualcomm LE (Yocto) based implementation and its display/graphics rendering stack. - Strong skill of software integration, optimization, and debugging on embedded RTOS (Real Time Operating Systems) - Strong C/C++/ Java development and debugging skills on embedded systems - - Good communication & interpersonal skills for customer-facing role - Self-starter with motivation and initiative - Flexibility to learn and work on new Multimedia area - Ability to work as part of a dedicated project team and independently - Candidate should have good written communication skills and interpersonal skills. Be flexible to assignments and easily work in a team environment. Preferred Qualifications Experience in Yocto based Embedded systems development. Experience with GPU and UI on Linux will be considered a strong supplementary skill. Experience in resource constrained environment like NXP FRDM, NVIDIA ORIN , RaspberryPI or other embedded SOMs will be a good to have skill. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of any combination of academic and/or work experience with debugging techniques. 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.

Sr. Silicon Design Engineer Hyderabad, India Engineering 65465 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_ SE NIOR SILICON DESIGN ENGINEER THE ROLE : We are looking for an adaptive, self-motivative design verification engineer to join our growing team. As a key contributor, you will be part of a leading team to drive and improve AMD's abilities to deliver the highest quality, industry-leading technologies to market. The Verification Engineering team furthers and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development. THE PERSON: You have a passion for modern, complex processor architecture, digital design, and verification in general. You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites/timezones. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. KEY RESPONSIBILITIES: Develop/Maintain tests for functional verification and performance verification at the core level Build testbench components to support the next generation IP Maintain or improve current test libraries to support IP level testing Create hardware emulation build to verify the IP functional performance Maintain and improve current hardware emulation environment to speed up the runtime performance and improve the debug facility Provide technical support to other teams PREFERRED EXPERIENCE: Good at C/C++ Familiarity with SystemVerilog and modern verification libraries like UVM Experience/Background on Computing/Graphics is a benefit Experience with OpenGL/OpenCL/D3D programming is a benefit ACADEMIC CREDENTIALS: Bachelors or Masters degree in computer engineering/Electrical Engineering #LI-PS1 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.

Software Validation Engineer (QA) Hyderabad, India Engineering 62454 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_ 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: Performance analysis and software optimization Build and deploy software for the most advanced HPC (High Performance Compute), data science, Virtualization, and machine learning platforms in the world Define/develop/execute regression test models and track the results Drive innovation in production software environments Combine advanced software engineering skills with a drive to explore novel approaches to solve important problems in heterogeneous computing at the large scales Evaluate and review of existing processes and continuously strive to optimize the workflow PREFERRED EXPERIENCE: (3 to 15 years) Good understanding of test lifecycle, QA process & terminology. Strong knowledge of Device drivers, graphics, multimedia, Codec. Test Execution Experience in an automation lab with multiple systems. Define, develop, execute functional/performance/load tests, and integrate them with automated test systems. Establishing and sharing best practices, designing, and executing a robust test strategy. Proficiency in at least one programming language preferably Python. Strong understanding & Hands-on exp. with Linux OS internals, device manager. Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level. Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS. Understanding of parallel programming, ideally OpenCL, ROCm, CUDA, and OpenACC is a plus. Understanding machine learning, artificial intelligence, computer vision technologies is a plus. Strong analysis, problem-solving & interpersonal skills. Good verbal & written communication skill is a must. Good attitude, result-driven & ability to deliver on next-gen technology. ACADEMIC CREDENTIALS: Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent #LI-NR1 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.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary Having multiple positions for Engineer / Senior Engineer / Lead Engineer and Staff & Senior Staff Engineer. For Engineer Title (1-5 years) - Strong C++ is good to have. Graphics Domain is not mandatory Experience in Graphics APIs - any of DX11/DX12/Vulkan . Looking for a developer with strong design experience with OOPS, & C++ development experience. Hands-on experience with Game development, experience with Unreal Engine 5, GPU based rendering techniques. Prefer prior development experience in implementing/supporting Graphics driver for standards (Direct3D, Vulkan, OpenCL). Strong debugging skills would also be preferred Will work with GPU Software & Hardware teams, and ISVs to develop/support compliant and optimized Graphics drivers for Adreno GPUs for a competitive edge. Prefer prior experience with understanding the graphics rendering pipeline, APIs Inter-Op, and other Multimedia IPs. Minimum Qualifications Performance profiling experience in DirectX/Vulkan games is preferred. 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. 3075517 Show more Show less

Hi, Greetings from Qualcomm. Raja Shekar here from Qualcomm. We do have multiple open positions for Lead Engineer Staff Engineer & Senior Staff Engineer Graphics side / GPU / Vulkan / OpenGL / GLES/ Rendering / Shaders / Performance Profiling Etc., (Software / Development Role) Please share your updated resume to rshekarv@qti.qualcomm.com with CTC and ECTC details. Note - If you want more details please share the resume, If suits for our requirement will call you The Qualcomm Adreno GPU Software team is looking for talented engineers to work on next generation GPU Developer Tools. Responsibilities include the design and development of profiling and performance analysis tools. In this role, you will: · Design and develop profiling, performance analysis, and debugging tools features. · Collaborate with GPU hardware and software teams on performance validation and analysis. · Debug issues, optimize for the user experience, and work with the developer ecosystem, partners, and OEMs. · Extensive programming knowledge in C/C++ One or more of the following qualifications is a plus: · Experience developing graphics applications with Vulkan, DirectX, Metal, OpenGL, WebGL or graphics development through Unity, Unreal Engine, Godot or a comparable graphics or game engine · Experience developing GPU computing applications with OpenCL, CUDA, SYCL etc. · Experience debugging, optimizing, profiling, and tuning real-time graphics and/or compute applications · Experience with game engines, graphics frameworks, or general computing frameworks leveraging the GPU · Knowledge of recent graphics trends, especially ray tracing and emerging capabilities such as mesh shading and workgraphs · Familiarity with Graphics Profilers and Debuggers such as Nsight, PIX, GPA, RenderDoc, Radeon Profilers, GfxReconstruct Raja Shekar Vadipilla Senior Talent Acquisition Specialist Show more Show less

Notice Period : Immediate - 15 Days We are seeking a highly skilled Open GL Developer to join our dynamic team. As an integral part of our development process, you will be responsible for creating exceptional graphics experiences for our users. The ideal candidate possesses a strong foundation in C/C++, a deep understanding of OS concepts, and expertise in at least one graphics API (OpenGLES, Vulkan, or OpenCL). Responsibilities : - Develop high-performance, visually stunning graphics applications using Open GL and related technologies. - Optimize graphics performance and power efficiency across various hardware platforms. - Collaborate with cross-functional teams to implement innovative graphics solutions. - Troubleshoot and resolve complex graphics-related issues. - Stay up-to-date with the latest graphics technologies and industry trends. Requirements : - Strong proficiency in C/C++ programming. - In-depth knowledge of OS concepts and architecture. - Expertise in at least one graphics API (OpenGLES, Vulkan, or OpenCL) OR extensive experience with the Android Framework for graphics development. - Proven ability to optimize graphics performance and power efficiency. - Excellent problem-solving and debugging skills. - Strong communication and collaboration abilities. - Ability to work independently and as part of a team. Preferred Qualifications : - Experience with game development or other real-time graphics applications. - Knowledge of shader programming (GLSL, HLSL). - Experience with performance profiling and optimization tools.

Job Title: Senior Computer Vision Engineer – C++ / OpenCV (Medical Imaging) Job Type: Full-Time Experience Level: Senior (5+ years) Job Summary: We are looking for an experienced and driven Senior Computer Vision Engineer with strong proficiency in C++ and OpenCV , to lead the development of advanced imaging solutions for the medical domain . This role involves algorithm design, optimization, and cross-functional collaboration to develop software that aids in clinical diagnostics and medical device imaging. Key Responsibilities: Lead the design and implementation of advanced computer vision and image processing algorithms for medical imaging systems. Architect and optimize high-performance C++/OpenCV modules for real-time and offline analysis. Ensure quality and robustness of algorithms. Contribute to the documentation and validation process for regulatory submissions (FDA, CE Marking, etc.). Stay abreast of advancements in medical imaging, deep learning, and computer vision research; evaluate their applicability to ongoing projects. Required Skills and Experience: Bachelor’s or Master’s degree in Computer Science, or related field. 5+ years of professional experience in C++ software development for computer vision applications. Deep expertise in OpenCV and real-time image processing techniques. Strong experience in the medical imaging domain : DICOM handling and medical data compliance. Proven ability to build, optimize, and scale computer vision systems in production environments. Familiarity with common medical image processing tasks such as multi-modal image registration, segmentation (2D/3D), noise filtering, and anatomical landmark detection. Strong understanding of memory management, concurrency, and performance tuning in C++. Prior experience working with regulatory processes or developing software for certified medical devices. Preferred (Nice-to-Have) Qualifications: Experience with ITK , VTK , or other medical image processing libraries. Exposure to deep learning techniques using frameworks like TensorFlow or PyTorch , especially in medical imaging. Knowledge of GPU programming (CUDA/OpenCL/OpenGL) for accelerated image processing. Experience with 3D visualization. What We Offer: Work at the forefront of healthcare innovation, directly improving patient outcomes. Technical leadership opportunities and the chance to shape the vision of imaging software products. Collaborative, research-driven culture with access to real-world medical data. Competitive compensation, flexible work environment, and comprehensive benefits package. Show more Show less

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_ Sr Technical QA 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 We are looking for an experienced Senior QA engineer with expertise in virtualization, hypervisors, GPU virtualization, and advanced I/O technologies. This role drives comprehensive feature validation and roadmap projects while ensuring robust quality assurance strategies across traditional and specialized virtual environments. Your remit will include validating GPU virtualization and the intricacies of SR-IOV (Single Root I/O Virtualization) and pass-through technologies, all crucial for delivering high-performance computing, AI, platform specific and data-intensive applications As a QA Tech lead, you will be the driving force behind the quality assurance process for our cutting-edge AI SDK products. You will drive accountability in development practices, audit CI processes, enforce stringent unit test code coverage, and oversee high-level functional test content execution. In addition, you must have hands-on development and validation expertise, including robust experience in SDK development and validation, as well as a deep understanding of AI/ML, GPU environments, and Linux systems. You will work directly with development teams—holding them accountable for maintaining and exceeding quality metrics—while also leading collaborative efforts with our Test Content Teams (TCT) and Automation groups to keep our product at the forefront of innovation. Key Responsibilities Establish and maintain high-quality standards by defining QA best practices and promoting a culture of accountability across development teams. Utilize your hands-on development knowledge to design integrated validation strategies that align with overall project goals. Collaborate directly with engineers, ensuring they deliver high-quality code that complies with established test coverage and CI/CD best practices. Define, monitor, and enforce high standards for unit test (UT) code coverage, ensuring that all critical functionalities are thoroughly validated. Oversee the execution of high-level functional tests, ensuring that software features and end-to-end user scenarios operate seamlessly. Drive the validation efforts for Software Development Kits (SDKs) by designing comprehensive test cases and testplans to verify functionality, performance, compatibility, and integration. Conduct regular audits of the Continuous Integration (CI) pipeline, ensuring that all code undergoes rigorous automated testing and validation before integration. Facilitate clear communication among development, QA, and product teams; provide actionable insights to continuously improve product quality. Work closely with the Test Content Team to align on test content strategies and ensure the execution aligns with product requirements. Actively participate participate in design and code reviews from a QA perspective to ensure quality is embedded in every stage of product development. Use your development and debugging expertise to assist in troubleshooting complex issues alongside the development teams. Apply your knowledge and experience in AI/ML to validate data models, performance, and integration within relevant projects. Excellent communication and leadership skills, with the capability to bridge efforts across development and QA teams to ensure quality and timely project delivery. Identify, propose, and implement process improvements to reduce the cycle time of testing phases and improve product quality. Serve as a trusted advisor to your peers and junior QA engineers, fostering a culture of accountability, quality, and continuous learning. Requirements Bachelor’s or master’s degree in computer science, Engineering, or a related field with 12+ yrs of related experience Demonstrated hands-on development expertise with practical experience in coding, debugging, and designing validation strategies. Deep understanding and experience with unit testing frameworks (such as JUnit, NUnit, LCOV, or similar code coverage tools). Extensive knowledge of CI/CD pipelines, unit testing frameworks, automated testing tools, and functional testing methodologies. Strong proficiency in SDK development and validation—proven ability to create and execute comprehensive test strategies that ensure robust and reliable APIs and libraries. In-depth understanding of AI/ML concepts and practical testing experience in data-driven, machine learning environments. Exposure to advanced test automation frameworks and willingness to explore new testing paradigms involving AI/ML and GPU-optimized processes. Hands-on experience working with GPU environments and optimizing tests for performance on hardware-accelerated systems. Strong proficiency in working within Linux environments (Ubuntu, CentOS, etc.). Familiarity with GPU computing technologies (e.g., ROCm, CUDA, OpenCL) for performance-critical applications. Demonstrable expertise with Docker containerization practices. Exposure to additional container orchestration tools like Kubernetes. Prior experience with AI/ML frameworks such as TensorFlow or PyTorch.is a plus Advanced scripting and programming skills in languages such as Python, C/C++, or similar Exceptional analytical, problem-solving, and communication skills. A self-driven, detail-oriented mindset with an ability to judiciously hold teams accountable. Comfort working independently in a fast-paced, dynamic environment. 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

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 SILICON DESIGN ENGINEER The Role We are looking for an adaptive, self-motivative design verification engineer to join our growing team. As a key contributor, you will be part of a leading team to drive and improve AMD's abilities to deliver the highest quality, industry-leading technologies to market. The Verification Engineering team furthers and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development. The Person You have a passion for modern, complex processor architecture, digital design, and verification in general. You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites/timezones. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. Key Responsibilities Develop/Maintain tests for functional verification and performance verification at the core level Build testbench components to support the next generation IP Maintain or improve current test libraries to support IP level testing Create hardware emulation build to verify the IP functional performance Maintain and improve current hardware emulation environment to speed up the runtime performance and improve the debug facility Provide technical support to other teams Preferred Experience Good at C/C++ Familiarity with SystemVerilog and modern verification libraries like UVM Experience/Background on Computing/Graphics is a benefit Experience with OpenGL/OpenCL/D3D programming is a benefit Academic Credentials Bachelors or Masters degree in computer engineering/Electrical Engineering 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

Summary Position Summary The HCI portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Enterprise Network Engineer Level: Senior Consultant As Senior Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving : Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability : Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership : Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen : Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 6 - 10 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI #HC&IE Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302213 Show more Show less