HPC GPU Software Fellow — Lead ROCm AI/Compute (Remote)

Advanced Micro Devices; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Advanced Micro Devices seeks a High Performance and Scientific Computing Fellow to lead HPC GPU libraries within the ROCm software platform. This IC role emphasizes deep technical leadership across multiple AMD GPUs, defining software strategy and driving the vision for HPC libraries.

The ideal candidate blends hands-on coding with architectural insight, tackling dense linear algebra, solvers, and distributed GPU computing while representing AMD in benchmarks and external forums.

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 and sparse linear algebra

Direct and iterative solvers

Parallel algorithms

C++, C, Fortran

HIP/CUDA/OpenCL

MPI/SHMEM

CPU/GPU architecture optimization

Software development best practices

Education

B.Sc. or B.Eng. in CS/SE/EE/Applied Mathematics

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

Job description

Advanced Micro Devices seeks a High Performance and Scientific Computing Fellow to lead HPC GPU libraries within the ROCm software platform. This IC role emphasizes deep technical leadership across multiple AMD GPUs, defining software strategy and driving the vision for HPC libraries.

The ideal candidate blends hands-on coding with architectural insight, tackling dense linear algebra, solvers, and distributed GPU computing while representing AMD in benchmarks and external forums.