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NVIDIA

Senior GPU Validation Engineer

NVIDIA16 Sep 2026
fulltimeonsite
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Before you apply

Listed location: US, CA, Santa Clara

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem

Job Description

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 the pay of employees in similar positions. The base salary range is 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 September 20, 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.

Skills mentioned

PythonCUDASQLGPU

Frequently asked questions

Is the Senior GPU Validation Engineer position at NVIDIA remote?

The Senior GPU Validation Engineer role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.

What type of employment is the Senior GPU Validation Engineer role?

NVIDIA is hiring for a full-time Senior GPU Validation Engineer position.

Which skills are mentioned for the Senior GPU Validation Engineer job at NVIDIA?

Detected skill labels include Python, CUDA, SQL, GPU. Check the employer description to distinguish required skills from preferred experience.

How do I apply for the Senior GPU Validation Engineer position at NVIDIA?

You can apply for the Senior GPU Validation Engineer role directly through NVIDIA's official application link provided on this page.

Interested in this role?

Apply directly on the company's website.

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NVIDIA

NVIDIA

Website
Posted16 Sep 2026
Typefulltime
LevelSenior
LocationUS, CA, Santa Clara
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