NVIDIA

NVIDIA

Posted via Workday

Quality Assurance Software Developer Engineer in Test, GeForce GPU

Apply by Oct 1, 2026

Posted Aug 5, 2026

Role at a glance

Salary
$140K – $270.3K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time

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Role Summary

AI-generated

The Software Development Engineer in Test will design and implement automated tests for NVIDIA device driver software and SDKs across Windows and Linux operating systems. The role also develops data-driven tools, utilities, and frameworks to improve software quality, accelerate testing workflows, and identify defects early in the software development lifecycle.

What You'll Do

  • Design and implement automated tests incorporating AI technologies for NVIDIA device driver software and SDKs.
  • Develop automated end-to-end tests, execute manual and automated tests, identify and report defects, and drive code coverage improvements.
  • Develop applications and tools that bring data-driven insights to development and test workflows.
  • Build Python, C, and C++ tools, utilities, and frameworks to automate and optimize GPU testing workflows.
  • Write and review maintainable code, debug issues to identify root causes, and provide feedback on performance, scalability, and correctness.
  • Generate and test compatibility across a range of products and interfaces.

Generated from the employer's posting. Verify important details before applying.

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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 Object-Oriented Programming concepts; hands-on Python application development; AI development tools for test plan creation, test case development, and test case automation; RESTful API testing and performance and load testing; databases and storage technologies such as SQL and Elasticsearch; OS fundamentals, PC hardware, troubleshooting, and debugging tools such as WinDBG/gdb; working knowledge of GPU technologies including DLSS, Frame Generation, Reflex, CUDA, and G-Sync; ability to collaborate with multiple development teams.

Required

  • 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++
  • Object-Oriented Programming concepts
  • Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
  • AI development tools for test plans creation, test cases development and test cases automation
  • Testing RESTful APIs
  • Performance and load testing
  • Databases and storage technologies like SQL and Elasticsearch

Preferred

  • Prior project experience with building ML and DL based applications
  • Good understanding of testing fundamentals
  • Good problem solving skills

Original job description

Content provided by the employer

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).

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 August 7, 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.