Senior GPU Validation Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 140,000 - 270,000; Full time

Job summary

NVIDIA Corporation in Santa Clara, CA seeks a Senior GPU Validation Engineer to design and implement automated tests for GPU software. You will build AI-enhanced testing tools, validate device drivers and SDKs across Windows and Linux, and report defects to accelerate delivery.

A strong foundation in Python/C/C++ and OS fundamentals is required. The role emphasizes automated end-to-end testing, code coverage improvements, and collaboration with multiple teams to enhance test coverage and

Qualifications

• B.E./B.Tech in Computer Science/IT/Electronics with strong academics or equivalent experience.
• 5+ years of programming in Python/C/C++ with OO concepts.
• Hands-on Python scripting with dictionaries, tuples, RegEx, pip.
• Experience using AI development tools for test plans and automation.
• Experience testing RESTful APIs and performance/load testing.

Responsibilities

• Design and implement automated tests for NVIDIA software on Windows and Linux.
• Develop automated end-to-end tests for device drivers and SDKs; execute tests and report defects.
• Measure code coverage and drive improvements; build data-driven test tools.
• Develop Python/C/C++ tools to automate testing workflows in the GPU domain.
• Provide peer code reviews focusing on performance, scalability and correctness.
• Estimate and prioritize tasks to create realistic delivery schedules.

Skills

Python

C/C++

OOP

AI testing tools

REST APIs

SQL/Elasticsearch

OS fundamentals

GPU tech

Education

B.E./B.Tech in Computer Science/IT/Electronics

Tools

WinDBG

gdb

Elasticsearch

Job description

Senior GPU Validation Engineer# CAREERS AT NVIDIA## Senior GPU Validation EngineerApply: US, CA, Santa Clara: Full time: Posted Yesterday: JR2028848Are 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).#SDETSChiringYour 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 October 30, 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.