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. Make a choice, and join our diverse team today!

NVIDIA Silicon Solutions Group is now looking for a System Level Product Engineer to be part of the team! As a member of this team, you are responsible for developing test specs for the manufacturing line with an innate understanding of product needs. You will cover products in all business units that Nvidia provides solutions for. Prior experience in the lab with system-level post silicon bring-up and debug is helpful.

 

What you will be doing:

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

 

What we need to see:

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 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

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.

#LI-Hybrid

The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.