Senior GPU System Architect, Context Management and Register Architecture - CA, Santa Clara, United States
Originally posted 10 August 2026 by the employer. Relisted by the employer on 11 August 2026.
About the role
This role involves developing GPU architecture improvements and chip design infrastructure optimized for scalability, performance, area, and yield. You will collaborate across ASIC design, software, and VLSI teams to build functional models, yield simulators, and architecture specifications.
What you'll do
- Develop GPU architecture improvements optimizing along the axes of scalability/modularity, performance, area, yield, effort, and schedule. - Develop and enhance chip design infrastructure, including functional models, yield simulators, testbench components, and analysis tools to evaluate configurations under different constraints. - Develop tests, test plans, and testing infrastructure for new architectures and features. - Implement and maintain functional, performance, and yield models across modeling teams to optimize chip yield and performance. - Document architecture specifications and collaborate with ASIC design, software, and VLSI teams to evaluate trade-offs and define solutions. - Collaborate with Design, Floorplan, Packaging, and Systems Engineering teams to validate architectural choices against performance, cost, and scalability targets.
What you'll need
- Bachelor's, Master's, or PhD in Computer Engineering, Computer Science, or related fields (or equivalent experience). - Minimum of 10 years of relevant work experience in GPU or CPU System Architecture development. - Proficient programming skills in C++ and Python. - Solid background in Computer Architecture with experience in modeling. - Debugging and problem-solving experience with a track record of driving issues to closure.
Skills: GPU architecture, scalability, performance, functional models, yield simulators, C, Python
This role has been open 186 days — well below the 199-day median for SoC/Chip Architecture roles.
SoC/Chip Architecture · AI ML Hardware
|
Open roles in category
29
|
Median days open
199 d
|
Median salary
$239k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (29 roles · 11 employers) |
|---|---|---|
| Open roles in this specialty | 7 | 29 |
| Open roles in the wider Digital Design & Verification family | 229 | 3310 · 115 employers |
| Median days open | 195 d | 199 d (−4 d vs this employer) |
| Median salary (USD postings) | — | $239k |
Skills observed across this category: GPU architecture, scalability, performance, functional models, yield simulators, C
Who's hiring in this category
- Qualcomm · 8 open roles · median 199 d
- NVIDIA (this employer) · 7 open roles · median 195 d
- SiFive · 3 open roles · median 196 d
- AMD · 2 open roles · median 196 d
- Infineon Technologies · 2 open roles · median 193 d
- Intel Corporation · 2 open roles · median 3 d
How we counted: 29 open SoC/Chip Architecture (AI ML Hardware) roles from 11 employers tracked in the SemiconductorJobs index, counted 25 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 Digital Design & Verification family row. Figures refresh nightly.