Software QA Test Dev Engineer

Sorry, this job was removed at 10:08 a.m. (CST) on Tuesday, Jan 06, 2026
Santa Clara, CA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

We are seeking a qualified Software QA Test Development Engineer to join our GPU SWQA team. 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. Comprehensive knowledge of system architecture is essential, along with a strong command of PC I/O architecture and common bus interfaces, including PCI-E, USB, and SATA. Familiarity with specifications pertaining to general PC-Architecture components will be regarded as a valuable asset.

What you’ll be doing:

  • Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.

  • Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain . Develop and implement automated and manual tests, analyze results, identify and report defects.

  • Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing.

  • Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements.

  • Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth.

  • Provide peer code reviews including feedback on performance, scalability and correctness.

  • Effectively estimate and prioritize tasks in order to create a realistic delivery schedule.

  • You will have the opportunity to work on challenging technical and process issues and work closely with leadership to report progress, generating effective and actionable reports.

  • This is an onsite position located at the Santa Clara HQ office.

What we need to see:

  • B.S / B.Tech/M.S in Computer Science / Electronics & Telecommunication 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.

  • Working experience with databases and storage technologies like SQL, MongoDB and Elasticsearch.

  • Good understanding of OS fundamentals, PC Hardware fine-tuning in those areas

  • Good Communication skills (interpersonal and across teams).

  • Excellent analytical and problem-solving skills.

  • Very organized, proactive, and has good learning ability.

  • The ability to work with a team of engineers in a fast-paced environment

Ways to stand out from the crowd:

  • Good problem-solving skills (solid logic to apply in isolation and regression of issues found).

  • Substantial experience with AI-driven automation

  • Ability to work in a distributed team environment.

  • Good written communications skills are crucial.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 20, 2025.NVIDIA is committed to fostering a diverse 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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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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