HPC GPU Software Fellow - Drive ROCm Innovations

Advanced Micro Devices; Tennessee; On-site; USD 180,000 - 280,000; Full time

Job summary

Advanced Micro Devices in Austin, TX seeks a High Performance and Scientific Computing Fellow to lead HPC GPU library strategy within the ROCm platform. This IC role emphasizes deep technical vision, algorithms, and performance optimization for next-generation GPUs.

You will mentor engineers, drive collaborations with partners and customers, and shape benchmarks and external engagements to push the boundaries of HPC software across AMD's GPU and CPU stack.

Qualifications

• In-depth understanding of mathematical algorithms for dense and sparse linear algebra.
• Experience with direct and iterative solvers.
• Experience designing, implementing, debugging, and optimizing parallel algorithms on class-leading supercomputers.
• Knowledge of important HPC algorithms and libraries.
• Strong background developing applications and libraries in C++, C and Fortran.
• Familiarity with GPU software development and optimization using HIP, CUDA, or OpenCL and distributed programming with MPI and/or SHMEM.
• Understanding of CPU and GPU architectures and low-level optimization techniques including assembly programming and vectorization.
• In-depth knowledge of best-practices in software development, including testing, profiling, debugging, documentation, version control, issue tracking, and planning.

Responsibilities

• Define technical vision and drive software strategy across AMD ROCm HPC libraries.
• Lead performance analysis, tuning, and algorithmic innovation across HPC libraries.
• Provide technical mentorship to senior engineers and influence best practices across the organization
• Communicate complex technical findings and recommendations to senior leadership and stakeholders.
• Represent AMD in external technical forums, benchmarks, and customer engagements
• Work with key technical experts across AMD and with our partners and customers to improve ROCm HPC and AI applications, libraries, and tools.

Skills

Dense linear algebra

High performance computing

C++

Fortran

HIP/CUDA/OpenCL

MPI/SHMEM

GPU architecture

Software optimization

Technical leadership

Education

B.Sc./B.Eng. in CS/EE/Applied Math

M.Sc./M.Eng./Ph.D. preferred

Job description

Advanced Micro Devices in Austin, TX seeks a High Performance and Scientific Computing Fellow to lead HPC GPU library strategy within the ROCm platform. This IC role emphasizes deep technical vision, algorithms, and performance optimization for next-generation GPUs.

You will mentor engineers, drive collaborations with partners and customers, and shape benchmarks and external engagements to push the boundaries of HPC software across AMD's GPU and CPU stack.