Advanced Micro Devices, Inc

High Performance and Scientific Computing Fellow

Advanced Micro Devices, Inc$130K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in High Performance Computing (HPC) and GPU software development
  • Deep expertise in mathematical algorithms and floating point precision
  • Proficiency in performance analysis, tuning, and algorithmic innovation
  • Significant experience with C++, C, and Fortran programming languages
  • Understanding of GPU software optimization techniques (HIP, CUDA, OpenCL)
  • Familiarity with distributed programming using MPI and/or SHMEM
  • Involvement in technical leadership and mentorship within engineering teams

Responsibilities

  • Define technical vision and drive software strategy for AMD ROCm HPC libraries
  • Lead performance analysis, optimization, and innovative algorithm development
  • Mentor senior engineers and influence best practices organization-wide
  • Communicate complex findings and technical recommendations to leadership
  • Represent AMD in external forums and client engagements
  • Collaborate with technical experts and stakeholders to enhance ROCm HPC and AI libraries
  • Participate in benchmarking and validation of industry standards

Benefits

  • Comprehensive benefits package including health insurance
  • Flexible work arrangements with options for remote work
  • Opportunities for professional development and career growth
  • Collaborative and innovative work environment
  • Access to cutting-edge technology and HPC resources
Full Job Description
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 will require deep expertise in mathematical algorithms, floating point precision, GPU performance analysis, distributed systems, software architecture and engineering. The ideal candidate is highly hands-on and embraces agentic AI workflows and is expected to play a key role in industry-standard benchmarks and external technical engagements.

THE PERSON:

You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount. You possess excellent written and verbal communication skills, strong attention to detail, and the ability to express your work in a clear, cohesive fashion. You are a recognized technical leader with contributions across the HPC software stack and applications, both at the node and distributed level, and understand how to architect optimal software solutions for HPC customers while balancing often conflicting priorities. You are comfortable operating across layers-from kernels and runtimes to libraries and distributed strategies-and have a track record of driving impactful optimizations and influencing technical direction.

KEY 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.

PREFERRED EXPERIENCE:
  • 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

PREFERRED ACADEMIC CREDENTIALS:
  • 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.

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Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

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Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ

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