Nvidia Senior System Level Product Engineer 

Taiwan, Taipei 

968025374

What you will be doing:

• Work closely with other HW engineering teams such as silicondesign/characterizationteams, 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.

• Craft creative solutions and workarounds through volume data analysis and lab experimentation to solve challenging yield and test problems seen in production.

• Lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements.

• Support customer facing and quality teams during customer escalations to understand the issue and fix gaps identified in coverage.

• Define procedures to facilitate correlation activities between production testing infrastructure and internal diagnostic programs.

• Create key performance indicators used to evaluate the effectiveness of the new tests.

What we need to see:

• BS or MS degree in EE/CE, or equivalent experience.

• 5+ years of relevant industry experience.

• Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.

• SLT experience. 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 from 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.