We are seeking a qualified Sr. Software Automation and Tools 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 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 Windows and Linux operating systems.
Build tools, utilities, and frameworks in Python or equivalent to automate and optimize testing workflows in the GPU domain, and rigorously drive test automation initiatives through innovative approaches to expand software testing.
Develop and implement automated and manual tests, analyze results, identify and report defects; expose defects and constraints, isolate and debug issues, determine root cause, and contribute to solutions, driving them to closure.
Measure code coverage for the software under test, analyze results, and drive code coverage enhancements.
Develop applications and tools that accelerate development and test workflows, writing fast, effective, maintainable, reliable, and well-documented code; generate and test compatibility across a range of products and interfaces, validating key software applications across a test matrix designed for both breadth and depth.
Provide peer code reviews, including feedback on performance, scalability, and correctness.
Effectively estimate and prioritize tasks to create realistic delivery schedules.
Work on challenging technical and process issues, collaborating closely with leadership to report progress and generate effective, actionable reports; this is a fully onsite position.
What we need to see:
B.S / B.Tech/M.S in Computer Science/Computer Engineering / Electronics & Telecommunication with strong academics or equivalent experience.
4+ years of programming experience in Python or equivalent with experience in applying Object-Oriented Programming concepts
Working experience with databases and storage technologies like SQL, MongoDB and Elasticsearch.
Good understanding of OS fundamentals, PC Hardware fine-tuning in those areas (Linux, Unix, Windows)
Experience using AI tools to automate test cases as well as end-to-end QA workflow.
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) and good written communications skills
Substantial experience with AI-driven automation
Ability to work in a distributed team environment
Development experience capable of fixing regression bugs , implementing/enabling test for CI/CD
You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electronics and Telecommunication, or equivalent experience
- 4+ years of programming experience in Python or an equivalent language
- Experience applying object-oriented programming concepts
- Working experience with SQL, MongoDB, and Elasticsearch or comparable database and storage technologies
- Understanding of operating system fundamentals and PC hardware, including Linux, Unix, and Windows
- Experience using AI tools to automate test cases and end-to-end QA workflows
- Good communication and interpersonal skills across teams
- Excellent analytical and problem-solving skills
- Ability to work in a fast-paced team environment
- Experience with AI-driven automation
- Ability to work in a distributed team environment
- Development experience fixing regression bugs and implementing or enabling CI/CD tests
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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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