Senior GPU Validation Engineer

NVIDIA

Santa Clara (CA)

On-site

USD 140,000 - 270,000

Full time

6 days ago
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Job summary

NVIDIA in Santa Clara, CA is seeking a Software Development Engineer in Test to design and implement automated tests for NVIDIA device driver software and SDKs on Windows and Linux, using Python/C/C++. The role emphasizes AI-driven test ideas, data-driven tooling, and high-quality code.

You'll collaborate with multiple teams, review code for performance and reliability, and help improve test coverage across GPU products including DLSS, Frame Generation, and CUDA.

Qualifications

  • B.E./B.Tech in CS/IT/Electronics with strong academics or equivalent.
  • 5+ years of Python/C/C++ programming with OO concepts.
  • Experience developing Python scripts with dictionaries, tuples, RegEx, and Pip.

Responsibilities

  • Design and implement automated tests incorporating AI technologies for NVIDIA device driver software and SDKs on Windows and Linux.
  • Develop automated end-to-end tests for NVIDIA device driver and SDKs on Windows. Run tests, report defects, and improve code coverage.
  • Develop tools that bring data-driven insights to development and test workflows.
  • Build tools/framework in Python/C/C++ to automate and optimize testing workflows in GPU domain.
  • Write maintainable, reliable code and provide peer reviews focusing on performance and correctness.
  • Prioritize tasks to meet realistic delivery schedules.
  • Generate and test compatibility across a range of products and interfaces.
  • Collaborate with leadership to report progress with clear reports.

Skills

Python
C/C++
Test automation
REST APIs
OS fundamentals
Debugging tools
GPU tech
AI in testing

Education

B.E./B.Tech in CS/IT/EE

Tools

WinDBG
gdb
SQL
Elasticsearch

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.
  • Buildtools/utility/frameworkin 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 ComputerScience/IT/Electronicsengineering 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.

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