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The Senior Member in the GPU domain is a technical role responsible for owning the design, development, and implementation of GPU-related technologies. This position requires a strong understanding of GPU architecture and software development, with the ability to drive innovation in high-performance computing applications. You will develop and optimize the software ecosystem for the next generation of GPU computational accelerators, working closely with platforms like https://github.com/ROCm/ROCm
Job Responsibility:
Architectural Design: Own architectural design and development of GPU software components, ensuring alignment with industry standards and best practices
Technical Leadership: Act as one of the subject matter experts in GPU technologies, providing guidance and mentorship to junior engineers in the team on complex technical challenges
Software Development: Design, write, and deliver high-quality open software solutions that enhance GPU performance and capabilities. This includes developing drivers, APIs, and other critical software components
Research and Innovation: Conduct research to explore new technologies and methodologies that can improve GPU performance and efficiency. Propose innovative solutions to meet evolving market demands
Collaboration: Work collaboratively with cross-functional teams, including hardware engineers, system architects, and product managers, to ensure successful integration of GPU technologies into broader systems
Documentation and Standards: Develop comprehensive technical documentation and establish coding standards to ensure maintainability and scalability of software products
Requirements:
Strong C++ and Python programming skills
Performance analysis skills for both CPU and GPU
Good knowledge of AI/ML Frameworks and Architecture
Basic GPU kernel programming knowledge
Experience with software engineering methodologies such as Agile, Scrum, Kanban
Experience in all the phases of software development, from requirement gathering, analysis, design, development, testing to final release
Experience developing software in an end customer product delivery environment
Experience with open-source software development including collaboration with community maintainers and submitting contributions
Excellent analytical and problem-solving skills
Strong communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders
Ability to work independently and as part of a team
Willingness to learn skills, tools, and methods to advance the quality, consistency, and timeliness of AMD software products
BE / B-Tech with several years of related experience or M-Tech with years of related experience or PhD with years of related experience in Computer Science or Computer Engineering or related equivalent
Overall 18+ Years Of Experience
Nice to have:
Experience with GPU kernel programming using CUDA, HIP or OpenCL
Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI)
Experience in PyTorch, TensorFlow, JAX
Experience with Singularity, Docker, and/or Kubernetes