Senior System Level Testability Lead

Details

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work to amplify human imagination and intelligence.

Responsibilities

• Work closely with other HW engineering teams such as silicon design/characterization teams, IO design/validation teams, system feature owners, operations to determine coverage needs and constraints to resolve appropriate test conditions, diagnostic contents for production line screen.
• Define requirements to SW and board teams to support/improve test infrastructure, debug knobs and data collection features needed to support manufacturing screens effectively.
• Drive testability scope and coverage enhancements for Nvidia's manufacturing testing with a focus on system-level test.
• Prototype and fine-tune speed, power, performance, yield, and quality on pre-production silicon.
• Define, develop, and maintain system-level testing flows and incorporate takeaways from silicon and correlate to design.
• Define procedures to facilitate correlation activities between production testing infrastructure and internal diagnostic programs.
• Support customer-facing and quality teams during customer escalations to understand the issue and fix gaps identified in coverage.
• Create key performance indicators used to evaluate the effectiveness of the new tests.

Requirements

• Bachelor’s or Master’s Degree or equivalent in Microelectronics/Electrical/Electronic/Computer Engineering or equivalent experience.
• 8+ years of relevant industry experience.
• Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.
• Strong data analysis skills. Prior experience working with volume data is a plus.
• Validated hands-on lab experience with silicon bring-up and lab debug.
• Good understanding of firmware/driver structures and their interaction with HW.
• Problem-solving, debugging, analysis, and logical reasoning skills with examples to prove it.
• Experience with Python, BASH, Linux.

Benefits

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphics company, we have evolved into a global leader in artificial intelligence, continuously pushing the boundaries to tackle sophisticated challenges across diverse industries.