Nvidia System Level Testability Engineer 

United States, California 

171098652

• Work closely with other HW engineering teams such as silicondesign, characterizationteams, system feature owners, IO design and validation teams, Operations to determine coverage needs and constraints to resolve appropriate test conditions, diagnostic contents for production line screen.

• Develop and execute robust closed loop analysis for POR expectations vs production line screens to improve overall quality of diagnostics.

• Help improve testability scope and coverage enhancements for Nvidia's manufacturing testing with a focus on system-level test.

• Improve, develop, and maintain system-level testing flows and incorporate takeaways from silicon and correlate to design.

• Enhance procedures to facilitate correlation activities between production testing infrastructure and internal diagnostic program.

• Work with SW and board teams to support and improve test infrastructure, debug knobs and data collection features needed to support manufacturing screens effectively.

• Prototype and fine-tune speed, power, performance, yield, and quality on pre-production silicon

• Measurekey performance indicators used to evaluate the effectiveness of the new tests

• Bachelor’s or Master’s Degree or equivalent inMicroelectronics/Electrical/Electronic/ComputerEngineering or equivalent experience.

• 3+ 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 bringup 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

Ways to stand out above the crowd:

• Deep understanding of technology and passionate about what you do

• Familiarity with statistical methods and tools for data analysis

• Strong collaborative and communication skills, specifically a shown ability to effectively guide and influence within a dynamic environment

• Strive to be a standout colleague and be ready to work with global teams from diverse cultural backgrounds in a high-energy environment