below marketmost similar roles pay hereabove market
This role pays more than
96%
of similar roles. Most pay
$196,750–$246,000
— the blue band above.
At the midpoint, this role pays about
$320k
versus about
$221k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
496 open roles
on FindRole.
Listed pay typically runs
$172,000–$258,000
across 496 roles with salary data.
GPU Runtime and System Software Engineer - Fellow will join the team to design, develop, and optimize GPU runtime and system software. This role involves identifying new technologies, driving innovation, and collaborating across teams from early architecture definition to production. Key responsibilities include providing technical leadership for GPU runtime features, optimizing the AI software stack, and partnering with hyperscalers to deliver tailored architectural wins. The position requires deep expertise in kernel, driver, and system level development using C/C++, as well as parallel programming and modern concurrent threading APIs. The work focuses on solving complex GPU runtime and system problems within modern data centers, specifically addressing large scale deployments for AI, machine learning, and high-performance computing workloads while influencing strategic initiatives and industry standards.
Design, develop, and optimize GPU runtime and system software.
Provide technical leadership for GPU runtime features across the entire AI software stack.
Collaborate with hardware and software architects from initial concept to product deployment.
Partner with hyperscalers to deliver tailored architectural wins and software optimizations.
Provide strategic insights on industry trends and recommend new technological initiatives to executives.
Act as a subject matter expert to drive state-of-the-art technologies for machine learning products.
What we're looking for
Broad and deep experience in compute and machine learning software development on GPU.
Proven track record of solving complex GPU runtime and system problems in modern data centers for AI/ML and HPC workloads.
Strong background and hands-on experience in GPU runtime and system software from low-level device drivers and OS internals to AI/ML frameworks (preferred).
Deep expertise with kernel, driver, and system level development in C/C++ and GPU software development and parallel programming (preferred).
Deep expertise with modern concurrent programming and threading APIs (preferred).
Proven history of communication software thought leadership, backed with patents, publications, and participation in industry standards bodies (preferred).
Strong written and verbal communication skills (preferred).
Bachelor’s, Master's, or PhD degree in Computer Science, Computer Engineering, or equivalent (preferred).
GPU Software Development
C++
C
Parallel Computing
HPC
AI
ML
ROCm
GPU Microarchitecture
Performance Engineering
Profiling
Hardware-Software Co-design
Scientific Computing