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Senior GPU Validation Engineer

NVIDIA· Engineer, SW QA Test Dev
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Santa Clara, CA$140k - $224.3kFull-timePosted 7mo ago

About the role

Software Development Engineer in Test focused on designing and implementing automated tests for NVIDIA GPU driver software and SDKs, leveraging AI technologies to improve quality and delivery across Windows and Linux. Builds tools in Python/C/C++/C#/AI-driven test strategies, with emphasis on data-driven testing, code coverage, and collaboration across teams.

Responsibilities

  • 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.

Qualifications

  • 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

Skills

Required:PythonC/C++AI in testing
Nice to have:C#/Python

Benefits

  • equity
  • benefits (per NVIDIA benefits page)
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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