Senior GPU Validation Engineer

at Nvidia

📍 Santa Clara, United States

USD 140,000-270,200 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API @ 4 CUDA @ 4 Debugging @ 4 ElasticSearch @ 4 GPU @ 4 Linux Load Testing @ 4 Python @ 6 SQL @ 4

Details

NVIDIA is seeking a creative, hands-on software engineer with a test-to-failure approach to build data-driven tools, improve software quality, and ensure the best customer experience for GeForce NVIDIA products. The role involves developing reliable tests and tools using C++, C#, and Python, applying AI technologies to automate test cases, and working with Windows and Linux operating systems.

Responsibilities

Design and implement automated tests incorporating AI technologies for NVIDIA device driver software and SDKs across Windows and Linux operating systems.
Develop automated end-to-end tests for NVIDIA device drivers and SDKs on Windows.
Execute manual and automated tests, identify and report defects, measure code coverage, and drive code coverage improvements.
Develop applications and tools that provide data-driven insights into development and test workflows.
Build tools, utilities, and frameworks in Python, C, and C++ to automate and optimize GPU testing workflows.
Write maintainable, reliable, and well-documented code.
Debug issues to identify root causes.
Provide peer code reviews, including feedback on performance, scalability, and correctness.
Estimate and prioritize tasks to create realistic delivery schedules.
Address challenging technical and process issues.
Generate and test compatibility across a range of products and interfaces.
Work closely with leadership by generating effective and impactful progress reports.

Requirements

B.E. or B.Tech degree in Computer Science, Information Technology, or Electronics Engineering, with strong academic performance, or equivalent experience.
At least 5 years of programming experience in Python, C, or C++, including object-oriented programming.
Hands-on experience developing Python scripts using application development concepts such as dictionaries, tuples, regular expressions, and PIP.
Experience using AI development tools for test-plan creation, test-case development, and test-case automation.
Experience testing RESTful APIs and conducting performance and load testing.
Experience with databases and storage technologies such as SQL and Elasticsearch.
Good understanding of operating system fundamentals, PC hardware, and troubleshooting.
Debugging skills and experience with tools such as WinDBG and gdb.
Working knowledge of GPU devices and technologies such as DLSS, Frame Generation, Reflex, CUDA, and G-Sync.
Ability to collaborate with multiple development teams to improve test-code coverage.

Preferred Qualifications

Project experience building machine-learning or deep-learning applications.
Good understanding of testing fundamentals.
Strong problem-solving skills, including the ability to isolate and regress issues.

Compensation and Benefits

Base salary for Level 3: USD 140,000–224,250 per year.
Base salary for Level 4: USD 168,000–270,250 per year.
Eligibility for equity and benefits.
Applications will be accepted at least until October 30, 2026.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.