GPU Software Engineer - GPU Libraries - CA, Home Office_Area2, United States
Originally posted 11 September 2026 by the employer.
This role involves advancing the strategy and execution across AMD Radeon Open Ecosystem (ROCm) libraries.
About the role
As a Senior Member of Technical Staff in the GPU Libraries group, you will help advance the strategy and execution across libraries that are part of the AMD Radeon Open Ecosystem (ROCm) ecosystem. You will work cross-functionally with computer scientists, software developers, and applied mathematicians on GPU libraries for high performance computing and machine learning workloads.
What you'll do
- Design, implement, validate, and deliver key software library capabilities, ensuring successful integration with GPU kernels into broader systems.
- Provide technical inputs to the software roadmap, architecture, design, and documentation efforts.
- Collaborate with principal members of staff to develop technical designs and approaches that consider constraints, performance, and roadmap commitments.
- Proactively identify gaps and inconsistencies at project scope and develop remediation plans with library owners and engineering principal colleagues.
- Engage in mentorships with senior and principal staff and champion internal best-practices in an agile environment.
What you'll need
- Hands-on experience enabling software on GPUs.
- Comfort working across abstraction layers, from architecture concepts to implementation and debugging.
- Collaboration skills with hardware, firmware, and software teams.
- Experience translating architectural ideas into practical software solutions.
Nice to have
- Familiarity with Python and AI/ML Frameworks.
- Experience contributing to technical and high-performance software systems supported by continuous improvement, regression and performance management systems, and software deployment and orchestration management (Jenkins/Docker/Kubernetes/numerical methods and analysis).
- Experience with open-source software development, including collaboration with community maintainers and submitting contributions, and various lifecycle methodologies such as Agile, Scrum, Kanban.
- Knowledge of professional software engineering practices and best practices for the full software development life cycle including requirements elicitation and analysis, scoping/estimation, coding standards, code reviews, version control, build processes, testing, and continuous integration.
- Advanced degrees, such as M.Sc. or M.Eng.
Skills: GPU libraries, ROCm, CUDA, HIP, accelerated computing
This role has been open 33 days — well below the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
231
|
Median days open
56 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (231 roles · 20 employers) |
|---|---|---|
| Open roles in this specialty | 53 | 231 |
| Open roles in the wider Software, Firmware & Systems family | 404 | 6145 · 145 employers |
| Median days open | 64 d | 56 d (+8 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: GPU libraries, ROCm, CUDA, HIP, accelerated computing
Who's hiring in this category
- NVIDIA · 117 open roles · median 55 d
- AMD (this employer) · 53 open roles · median 65 d
- Qualcomm · 19 open roles · median 106 d
- Intel Corporation · 17 open roles · median 6 d
- Arm Holdings · 5 open roles · median 112 d
- d-Matrix · 2 open roles · median 120 d
How we counted: 231 open Infrastructure/Platform Software (GPU Software Stack) roles from 20 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.