System Level Product Development Engineer

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
136K-259K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develops methodologies for system-level testing, characterization, yield enhancement, specification validation, and post-silicon verification of semiconductor chips. Partners with ASIC, DFT, ATE, silicon validation, fabrication, software, and quality teams to resolve silicon issues. Performs root-cause analysis and drives preventative process improvements. Uses Python for large-scale data analysis and may work with HBM/GDDR memory and power, speed, noise, and thermal characterization.
Summary Generated by Built In

NVIDIA continues to reinvent itself. Our invention of the GPU in 1999 fueled 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 take on, and that matter to the world. Are you passionate about working at the groundbreaking of technology? Make the choice to join us today. Our System Level Product Engineering team works on groundbreaking innovations involving crafting creative solutions for system level diag, verification and post-silicon validation of some of the industry's most complex semiconductor chips.

What you'll be doing:

  • Solve complex testing challenges and develop new methodologies for reliable testing of chips at SLT

  • Key responsibilities include characterization, yield enhancement and spec validation.

  • Partner with other engineering groups including ASIC, DFT, ATE, silicon validation, fab process, software and quality teams to coordinate efforts and resolve silicon issues.

  • Initiate and drive process improvements/preventative actions through root cause analysis.

  • The ideal candidate will always look to improve workflows, products, functions and methodologies while working multi-functionally to achieve the company goals.

What we need to see:

  • BSEE or MSEE degree (or equivalent experience).

  • 5+ years of relevant product engineering work experience or similar hardware systems background.

  • Self-motivated with strong technical, interpersonal, written/oral communication skills

  • Problem solving experience/ability.

  • Be able to quickly become a strong contributor both as an individual and as a member of highly productive team.

  • Software skills needed for large scale data analysis such as Python.

  • Experience with HBM/GDDR memory, Power/Speed/Noise/Thermal characterization is a plus.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most talented people in the world working for us. If you're creative and autonomous, we want to hear from you. You can do your life’s work here! Join us!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
136,000 USD – 212,750 USD for Level 3; and 168,000 USD – 258,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills Required

  • Bachelor’s or master’s degree in Electrical Engineering, or equivalent experience
  • 5+ years of relevant product engineering experience or similar hardware systems background
  • Strong technical, interpersonal, written, and oral communication skills
  • Problem-solving experience and ability
  • Ability to contribute effectively both independently and as part of a team
  • Python skills for large-scale data analysis
  • Experience with HBM/GDDR memory and power, speed, noise, or thermal characterization

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
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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