System Level Product Engineer

1 Month ago • 5 Years + • Research & Development

Job Summary

Job Description

NVIDIA seeks a System Level Product Engineer to develop test specifications for manufacturing lines, understanding product needs across various business units. Responsibilities include defining requirements for software and board teams, crafting solutions for yield and test problems, leading optimization efforts, supporting customer escalations, defining correlation procedures, and creating key performance indicators. The role requires close collaboration with hardware engineering teams and a strong understanding of dGPU, SOC, silicon bring-up, debug, and data analysis.
Must have:
  • 5+ years dGPU, SOC SLT experience
  • Hands-on lab experience with silicon bring-up and debug
  • Strong data analysis skills
  • Strong EE fundamentals, digital design knowledge
  • Problem-solving and debugging skills
Good to have:
  • Familiarity with statistical methods
  • Strong communication and collaboration skills
  • Experience with Python, JavaScript, C/C++
Perks:
  • Competitive salaries
  • Generous benefits package

Job 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. Make the choice, join our diverse team today!

NVIDIA Silicon Solutions Group is now looking for a System Level Product Engineer to be part of team! As a member of this team, you are responsible for developing test specs for 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.

  • 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 in dGPU, SOC SLT experience. Validated hands-on lab experience with silicon bringup, lab. debug, productization, or equivalent. Strong data analysis skills. Prior experience working with volume data is a plus.

  • Strong EE fundamentals, knowledgeable in digital design, computer architecture, BIOS, driver, OS power state and software applications. Good understanding of firmware/driver structures and their interaction with HW.

  • Problem solving, debugging, analysis and logical reasoning skills with examples to prove it.

  • Strong programming skills in one or more of Python, JavaScript, C/C++

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.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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