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Tier-1 brand, mid-level generalist QA/tools role, and metro location create high candidate competition.
Specialized GPU driver, PC I/O, and Windows test tooling skills are industry-specific and less transferable.
Explicit 3+ years, GPU/SoC architecture and AI-driven automation expertise make shortlisting criteria strict.
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Design and implement AI-based automated tests for NVIDIA device driver software and SDKs on Windows platforms.
Develop tools and frameworks in Python, C# or equivalent to automate and optimize GPU domain testing workflows.
Analyze test results, identify defects, perform root cause analysis, and drive issues to closure including reporting code coverage and delivery status.
Bachelor's/Master's degree in Computer Science/Electronics & Telecommunication or equivalent experience.
3+ years programming experience in Python, C# or equivalent with Object-Oriented Programming expertise.
Strong knowledge of Windows OS, GPU, CPU, SoC, x86, ARM architectures, and PC I/O technologies (PCIe, USB, SATA).
Work Experience Required: 3+ years
Experienced in AI-driven test automation and developing tools that accelerate development/testing workflows.
Skilled at diagnosing and fixing regression bugs with experience supporting CI/CD pipeline test automation.
Capable of collaborating effectively across engineering teams in a fast-paced, on-site environment.