Overview
Tools Development Engineer for NVIDIA’s GPU SWQA team, focused on AI-enabled automation for driver software and SDK testing on Windows.
What you'll do
- Design and implement AI-based automated tests for device driver software and SDKs on Windows.
- Build tools/utility/framework in Python, C# or equivalent to automate and optimize GPU testing workflows.
- Develop and implement automated and manual tests, analyze results, and identify/report defects.
- Drive test automation initiatives, including innovative ways to expand and automate testing.
- Measure code coverage, analyze results, and drive code coverage enhancements.
- Perform compatibility testing across products/interfaces and validate against a test matrix.
- Conduct peer code reviews and report test coverage and Go/No-Go status; escalate and drive critical issues to closure.
What you'll need
- 3+ years programming experience in Python, C# or equivalent with OOP concepts.
- AI tool experience to automate test cases and end-to-end QA workflows.
- Hands-on Python scripting using dictionaries, tuples, RegEx, PIP, etc.
- Experience with SQL, MongoDB, and Elasticsearch.
- Experience with Windows OS and understanding of GPU, CPU, and SoC architectures.
- B.S./B.Tech/M.S in Computer Science or Electronics & Telecommunication (or equivalent experience).
- Strong communication and analytical/problem-solving skills.
Details
- Fully onsite position.
- Location: Pune, India.
Read the full description and apply on the company’s own careers page.
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