NVIDIA is seeking a Senior Silicon Product Engineer – Manufacturing to join the TMRQ team, focusing on co-designing and implementing SLT Production diagnostics for silicon features in a high-volume manufacturing environment. The role involves verifying specifications and supporting post-silicon validation for complex semiconductor chips. The ideal candidate will work closely with multi-functional HW/SW teams and Production Operations to enhance manufacturing processes. This position emphasizes continuous improvement and the use of AI to drive impact while managing risk.

• Bachelor’s or Master’s Degree in Microelectronics, Electrical, Electronic, Computer Engineering, or equivalent experience.
• 8+ years of relevant experience in silicon Post-silicon PVT validation or High-volume manufacturing testing for sophisticated SoCs, GPUs, CPUs, or similar.
• Hands-on lab experience with silicon bring-up, lab debug, and test content correlation to Si characterization.
• Strong fundamentals in electrical engineering, device physics, and knowledge of silicon design and statistics.
• Excellent interpersonal skills with the ability to drive multi-functional alignment.
• Prior ownership of manufacturing test strategy for a major silicon product from planning through production.
• Strong data analysis skills and experience working with volume data.
• Good understanding of firmware/driver structures and their interaction with hardware.
• Problem-solving, debugging, and logical reasoning skills.
• Experience with Python, BASH, Linux, and scripting.

• Partner with HW engineering teams to determine test coverage and constraints for SLT testing.
• Collaborate with SW and platform teams to improve SLT testing infrastructure and data collection features.
• Co-design SLT testability scope and coverage enhancements for manufacturing testing.
• Prototype and fine-tune speed, power, circuits, yield, and quality for effective silicon coverage.
• Define procedures for Silicon correlation activities between production testing and internal diagnostics programs.
• Support customer-facing and quality teams during escalations to address issues in SLT production coverage.
• Drive alignment for manufacturability and test time optimization to evaluate new tests.
• Initiate and drive process improvements through root cause analysis and data analytics.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.