Quality Assurance Software Developer Engineer in Test, GeForce GPU

at Nvidia

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 Deep Learning @ 4 ElasticSearch @ 4 GPU @ 4 Linux Load Testing @ 4 Machine Learning @ 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 and reliable tests that improve software quality and accelerate delivery for GeForce products. The role involves developing software and hardware tests, using 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 for 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 and identify root causes.
Provide peer code reviews covering performance, scalability, and correctness.
Estimate and prioritize tasks to create realistic delivery schedules.
Generate and test compatibility across a range of products and interfaces.
Work with leadership to report progress through effective and impactful reports.

Requirements

B.E. or B.Tech degree in Computer Science, IT, 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 to create test plans, develop test cases, and automate test cases.
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.
Experience debugging issues with tools such as WinDBG and gdb.
Working knowledge of GPU devices and technologies including 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 and 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 range for Level 3: USD 140,000–224,250 per year.
Base salary range for Level 4: USD 168,000–270,250 per year.
Compensation is determined based on location, experience, and the pay of employees in similar positions.
Eligible employees may receive equity and benefits.
Applications will be accepted at least until July 1, 2026.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.