Senior System Level Product Engineer

Posted 7 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior System Level Product Engineer at NVIDIA, you will define procedures for product testing, create performance indicators, collaborate with engineering teams, and lead optimization efforts for manufacturing processes. Your focus will be on developing test solutions for various product segments, analyzing data, and solving yield issues during production.
Summary Generated by Built In

NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of sectors. We are seeking post-silicon Senior System Level Product Engineer who is passionate and committed to making a difference in the world through their inventions. As part of the Silicon Solutions Team, we are responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions. As a member of this team, you are responsible for developing procedures and test specs for manufacturing line with an innate understanding of product quality and 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 extremely helpful. Make the choice, join our diverse team today!

What you will be doing:

  • 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

  • Drive process and procedure enhancement for future productization including lesson learnings for future bring up tasks.

  • Define and implement system level test solutions for all product segments.

  • Work closely with other HW engineering teams such as silicon design/characterization teams, IO design/validation teams, system feature owners, Board Level teams, Product Engineering teams focused on ATE testing , operations to determine coverage needs and constraints to resolve appropriate test conditions, diagnostic contents for production line screen.

  • 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.

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

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

What we need to see:

  • Bachelor’s or Master’s Degree or equivalent in Microelectronics/Electrical/Electronic/Computer Engineering or requivalent experience.

  • 8+ years of experience in a Silicon and System Validation or related hardware engineering position.

  • Knowledgeable in ATE, System Level, Board Level testing and debug methodologies and coordinate various aspects pertaining to manufacturing and production of NVIDIA products

  • Strong data analytics skills. Prior experience working with volume data is a plus.

  • Excellent problem solving, collaborative, and interpersonal skills.

  • Knowledgeable in DFT architecture, BIST, fault models and fault detection methods, HTOL experience.

  • Hands-on experience with silicon bring-up, Frequency and power characterization, Tester to System correlation, lab tools (oscilloscopes, multimeters, DAQ etc).

  • Strong EE fundamentals, knowledgeable in digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications.

  • Experience in critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability and ageing mechanisms.

  • Experience with Perl, C/C++, Python and script development, Windows and Linux OS is a plus.

  • Knowledgeable in scripting, statistics, timing analysis, fault analysis, sampling, computer architecture.

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.

Top Skills

Computer Engineering
Electrical Engineering
Electronic Engineering
Microelectronics
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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