Senior Engineer, Math Libraries - Consumer and Embedded Platforms
$152,000 - $287,500 USD yearly
Originally posted 5 October 2026 by the employer.
About the role
This role focuses on enabling NVIDIA CUDA Math Libraries on new and specialized platforms.
What you'll do
- Ensure platform readiness across Math Libraries (cuBLAS, cuSPARSE, cuSOLVER, cuFFT) for new and specialized platforms.
- Perform defect triage and isolation of platform-specific versus library-specific problems, fixing bugs for functional correctness.
- Identify performance targets for new platforms, establish performance testing, and fix performance regressions.
- Collaborate with CI/CD, build, and test infrastructure teams to establish platform-specific qualification and validation pipelines.
What you'll need
- PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience).
- 5+ years of overall experience in developing high-performance numerical software.
- Experience with object-oriented programming, large system software architecture development, parallel computing, testing, maintenance, and performance optimization of HPC software using C++ and Python.
- Strong understanding of fundamental numerical methods and computations in science, engineering, and/or deep learning.
- Experience with software development practices, such as CI/CD systems, and project management tools such as JIRA.
Skills: CUDA Math Libraries, GPU kernel development, parallel programming, high-performance numerical software, platform readiness
This role has been open 0 days — well below the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
225
|
Median days open
56 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (225 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 127 | 225 |
| Open roles in the wider Software, Firmware & Systems family | 971 | 5996 · 146 employers |
| Median days open | 49 d | 56 d (−7 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: CUDA Math Libraries, GPU kernel development, parallel programming, high-performance numerical software, platform readiness
Who's hiring in this category
- NVIDIA (this employer) · 122 open roles · median 52 d
- AMD · 57 open roles · median 55 d
- Qualcomm · 17 open roles · median 165 d
- Arm Holdings · 5 open roles · median 103 d
- Intel Corporation · 5 open roles · median 53 d
- d-Matrix · 2 open roles · median 111 d
How we counted: 225 open Infrastructure/Platform Software (GPU Software Stack) roles from 19 employers tracked in the SemiconductorJobs index, counted 6 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.