$140,000 - $270,250 USD yearly
Originally posted 26 October 2026 by the employer.
About the role
As a Senior GPU Validation Engineer at NVIDIA, you will participate in technical design and implementation of automated tests and tools in C++, C, or Python for device driver software and SDKs. Your work supports validation across Windows and Linux platforms for GeForce products.
What you'll do
- Design and implement automated tests incorporating AI technologies for NVIDIA device driver software and SDKs on Windows and Linux operating systems. - Develop automated end-to-end tests, execute test suites, report defects, and analyze and improve code coverage. - Build tools, utilities, and frameworks in Python, C, and C++ to automate and optimize testing workflows in the GPU domain. - Develop applications and tools that deliver data-driven insights into development and test execution workflows. - Debug issues to identify root causes using tools like WinDBG and gdb, and provide peer code reviews covering performance, scalability, and correctness. - Generate and test compatibility across multiple product lines and hardware interfaces.
What you'll need
- B.E./B.Tech degree in Computer Science, IT, or Electronics engineering, or equivalent experience. - 5+ years of programming experience in Python, C, or C++ applying Object-Oriented Programming concepts. - Hands-on knowledge of Python scripting and development concepts including dictionaries, tuples, RegEx, and PIP. - Experience using AI development tools for test plan creation, test case development, and test case automation. - Experience testing RESTful APIs along with conducting performance and load testing. - Experience working with databases and storage technologies such as SQL and Elasticsearch. - Understanding of OS fundamentals, PC Hardware, and debugging tools such as WinDBG and gdb. - Working knowledge of GPU devices and technologies such as DLSS, Frame Generation, Reflex, CUDA, and G-Sync.
Nice to have
- Prior project experience building ML and DL based applications.
Skills: Python, C++, Device Driver Testing, GeForce, SDK Automation
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
245
|
Median days open
56 d
|
Median salary
$221k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (245 roles · 20 employers) |
|---|---|---|
| Open roles in this specialty | 126 | 245 |
| Open roles in the wider Software, Firmware & Systems family | 993 | 6292 · 146 employers |
| Median days open | 56 d | 56 d (same as this employer) |
| Median salary (USD postings) | — | $221k |
Skills observed across this category: Python, C++, Device Driver Testing, GeForce, SDK Automation
Who's hiring in this category
- NVIDIA (this employer) · 123 open roles · median 57 d
- AMD · 51 open roles · median 55 d
- Intel Corporation · 26 open roles · median 16 d
- Qualcomm · 18 open roles · median 131 d
- Arm Holdings · 5 open roles · median 124 d
- Graphcore · 4 open roles · median 6 d
How we counted: 245 open Infrastructure/Platform Software (GPU Software Stack) roles from 20 employers tracked in the SemiconductorJobs index, counted 27 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.