System Level Product Development Engineer

Posted 19 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
Develop and improve system-level testing methodologies for complex semiconductor chips at system-level test. Responsibilities include chip characterization, yield enhancement, specification validation, silicon issue resolution, root cause analysis, and preventative process improvements. The role partners with ASIC, DFT, ATE, silicon validation, fab process, software, and quality engineering teams. Data analysis using Python and knowledge of memory technologies, PC architecture, PCIe, and DRAM/DDR are relevant.
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.

  • HBM/GDDR Memory experience will be a plus

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

  • Experience with PC architecture, PCIe busses and DRAM/DDR 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 the pay of employees in similar positions. The base salary range is 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 September 1, 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

  • BSEE or MSEE degree, 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 independently and as part of a highly productive team
  • Software skills for large-scale data analysis, such as Python
  • HBM or GDDR memory experience
  • Experience with PC architecture, PCIe buses, and DRAM/DDR

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 Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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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