High Performance and Scientific Computing Fellow

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives.

About the role

The AI GPU Software (AGS) team is looking for a High Performance and Scientific Computing Fellow. This is a technical leadership position as an Individual Contributor (IC) driving innovation across multiple teams developing High Performance Computing (HPC) GPU libraries as part of the AMD ROCm™ Software platform (https://github.com/ROCm). You will focus primarily on deep technical leadership rather than organizational management. As a Fellow, you will be a primary contributor towards defining software strategy and driving the technical vision for HPC GPU libraries across multiple generations of AMD GPUs. This role requires deep expertise in mathematical algorithms, floating point precision, GPU performance analysis, distributed systems, software architecture, and engineering. The ideal candidate is highly hands-on, embraces agentic AI workflows, and is expected to play a key role in industry-standard benchmarks and external technical engagements.

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 partners and customers to improve ROCm HPC and AI applications, libraries, and tools.

Requirements

• 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.

Qualifications

• B.Sc. or B.Eng. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics, or equivalent.
• Advanced degrees, such as M.Sc., M.Eng., Ph.D. are preferred.

Location

Austin, TX or remote. This role is not eligible for visa sponsorship.

Benefits

Benefits offered are described at AMD benefits at a glance.