Senior GPU Validation Engineer

NVIDIA is hiring a Senior GPU Validation Engineer in Santa Clara, United States. It pays $140k-$224k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
The posting mentions Python, C and Windows among its tools and skills.
Level classes it as a senior role.
NVIDIA has 1,800+ other open roles on Level.
Posted within the past week.

AI in this role

Senior GPU validation engineer building automated testing tools and frameworks in Python/C++ for device drivers and SDKs.

pythoncwindowslinux

software-testinggpu-validationautomationdebugging

Are you passionate about inspiring change, building data driven tools to improve software quality, and ensuring customers have the best experience? If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative, and hands-on software engineer with a test to failure approach who is a quick learner, can understand software and hardware specifications, build reliable tests and tools C++/C#/Python to improve quality and accelerate delivery of GeForce NVIDIA products. The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of both Windows and Linux operating systems.

What you’ll be doing:
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:

Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.
Develop applications and tools that bring data driven insights to development and test workflows.
Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain.
Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness
Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.
Generate and test compatibility across a range of products and interfaces.
Work closely with leadership to report progress by generating effective and impactful reports

What we need to see:

B.E./B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience
5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
Good experience with using AI development tools for test plans creation, test cases development and test cases automation
Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.
Experience working with databases and storage technologies like SQL and Elasticsearch
Good understanding of OS fundamentals, PC Hardware and troubleshooting.
Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb
Working knowledge of GPUs devices and technologies like DLSS, Frame Generation, Reflex, CUDA, G-Sync, etc.
The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage

Ways to stand out from the crowd:

Prior project experience with building ML and DL based applications would be a plus
Good understanding of testing fundamentals
Good problem solving skills (solid logic to apply in isolation and regression of issues found).

#SDETSChiring

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
140,000 USD – 224,250 USD for Level 3; and 168,000 USD – 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Senior GPU Validation Engineer at NVIDIA rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior GPU Validation Engineer is an open job at NVIDIA.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $140k-$224k a year.
The role is based in US, CA, Santa Clara.
The job was posted on October 26, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software TestingGPU ValidationAutomationDebuggingPythonCWindowsLinux

Questions you could be asked

Tell me about a project where software testing was part of your work. What did you do?
Tell me about a project where gpu validation was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where debugging was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Testing, GPU Validation, Automation, Debugging, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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