3 Kernels Jobs

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_ Lead AI/ML Engineer THE ROLE: AMD is looking for an influential software engineer who is passionate about 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 ideal candidate shall have in-depth knowledge on state of the art AI/ML algorithms and inference workloads spanning across key embedded domains such as computer vision, voice recognition and generative AI using LLMs. In addition, prior experience in AI/ML model operators and kernels on popular HW accelerators including GPUs and NPUs are highly desirable. The ability to perform model quantization and other efficient inference techniques for embedded systems are essential. As a AI/ML development engineer, you will be tasked with various implementations ranging from end to end AI pipeline delivery, performance profiling to customer specific issue resolutions. We emphasize on Linux based SW development with real time embedded applications, and also standard frameworks such as ONNX RT and AMD ROCm. What you'll do: Develop and optimize AI/ML models and pipelines for embedded platforms Work with hardware accelerators like GPUs and NPUs for model operators and kernels Apply model quantization and efficient inference techniques for resource-constrained devices Deliver end-to-end AI solutions, from deployment to customer-specific troubleshooting Develop Linux-based real-time embedded software using frameworks like ONNX Runtime and AMD ROCm Who you are: - Looking 14+Years of relevant experience - Experienced in state-of-the-art AI/ML algorithms and embedded inference workloads -Skilled in AI/ML kernel development on GPUs and NPUs - Proficient with model quantization and performance optimization - Comfortable with Linux, real-time embedded systems, and AI frameworks Join us and work on next-gen AI technology shaping the future of embedded systems! ACADEMIC CREDENTIALS: Bachelor's or M aster's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-MK1 Benefits offered are described: . 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.

As a Linux Developer/Tester in Bangalore, with 3+ years of experience, you will be responsible for: - Validation experience in Linux, QNX, Android, Multimedia, Kernels, and device driver domains. - Strong automation skills in C/C++ and Python. - Creating automated test plans and test cases. - Reporting bugs and testing bug fixes. - Automotive domain test experience with exposure to IVI, ADAS, and AD features. - Familiarity with HIL (Hardware in Loop) and SIL (Software in Loop) test methodologies. - Knowledge of Multimedia/CV/AI technologies such as Camera, Audio, Video, Graphic, EVA/CV, neural networks, and AI processing. - Understanding of AUTOSAR Fundamentals (e.g. BSD, CDD etc.). Qualifications required: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of Systems Test Engineering or related work experience. OR - Master's degree in Engineering, Information Systems, Computer Science, or related field with 1+ year of Systems Test Engineering or related work experience. In addition, you will have the opportunity to work on: - SW development, planning, test case design/development, and validation experience in various domains. - Leading a team of SW test case development and validation engineers. - Creating and executing manual and automated test plans and test cases. - Product life cycle experience from Presil to commercial deployment. Please note that this is a full-time, permanent position with in-person work location requirement. If you are interested in this opportunity, kindly contact the employer at +91 8978465525.,

THE ROLE: AMD is looking for an influential software engineer who is passionate about 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: The ideal candidate shall have in-depth knowledge on state-of-the-art AI/ML algorithms and inference workloads spanning across key embedded domains such as computer vision, voice recognition, and generative AI using LLMs. In addition, prior experience in AI/ML model operators and kernels on popular HW accelerators including GPUs and NPUs are highly desirable. The ability to perform model quantization and other efficient inference techniques for embedded systems are essential. As an AI/ML development engineer, you will be tasked with various implementations ranging from end-to-end AI pipeline delivery, performance profiling, to customer-specific issue resolutions. We emphasize Linux-based software development with real-time embedded applications, and also standard frameworks such as ONNX RT and AMD ROCm. ACADEMIC CREDENTIALS: Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.