HPC Software Fellow — AI & GPU Innovation (Remote)

Advanced Micro Devices, Inc.; Austin (TX); Hybrid; USD 180,000 - 340,000; Full time

Benefits offered by this job

AMD benefits at a glance

Job summary

Advanced Micro Devices, Inc. (AMD) in Austin, TX, or remote, seeks a High Performance Computing Fellow to lead HPC GPU library development within the ROCm platform.

You will shape software strategy, drive technical vision, and collaborate across teams on cutting-edge HPC workloads. The role emphasizes hands-on leadership, deep expertise in mathematical algorithms, and delivering benchmarks and optimizations for next-generation GPUs.Strong communication and cross-team collaboration are essential

Qualifications

• Strong background in HPC algorithms and libraries.
• Experience with dense/sparse linear algebra.
• Experience designing, implementing, debugging, and optimizing parallel algorithms on supercomputers.
• Familiarity with GPU programming and distributed programming models.

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.
• Communicate complex technical findings to senior leadership and stakeholders.
• Represent AMD in external technical forums, benchmarks, and customer engagements.
• Collaborate with AMD teams and partners to improve ROCm HPC and AI applications and tools.

Skills

C++, C, Fortran

GPU software development

mathematical algorithms

distributed systems

communication skills

Education

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

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

Tools

HIP/CUDA/OpenCL

MPI/SHMEM

Job description

Advanced Micro Devices, Inc. (AMD) in Austin, TX, or remote, seeks a High Performance Computing Fellow to lead HPC GPU library development within the ROCm platform.

You will shape software strategy, drive technical vision, and collaborate across teams on cutting-edge HPC workloads. The role emphasizes hands-on leadership, deep expertise in mathematical algorithms, and delivering benchmarks and optimizations for next-generation GPUs.Strong communication and cross-team collaboration are essential