System Level Product Development Engineer

Reposted 8 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
The role involves solving testing challenges in semiconductor chip validation, enhancing yield, collaborating with engineering groups, and process improvements.
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 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 April 26, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Skills Required

  • BSEE or MSEE degree (or equivalent experience)
  • 5+ years of relevant product engineering work experience or similar hardware systems background
  • Strong technical, interpersonal, written/oral communication skills
  • Problem solving experience/ability
  • Software skills needed for large scale data analysis such as Python

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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Jobs

Cox Enterprises Logo Cox Enterprises

Communications Specialist

Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Remote or Hybrid
United States
50000 Employees
61K-92K Annually

Cox Enterprises Logo Cox Enterprises

Sr Manager, Software Engineering

Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Hybrid
Irvine, CA, USA
50000 Employees
149K-248K Annually

GlossGenius Logo GlossGenius

Software Engineer

Beauty • Enterprise Web • Fintech • Payments • Software
Easy Apply
Hybrid
San Francisco, CA, USA
250 Employees
150K-230K Annually

Parakeet Health Logo Parakeet Health

Customer Success Manager

Healthtech • Conversational AI • Generative AI
In-Office
San Francisco, CA, USA
12 Employees

Similar Companies Hiring

Fairly Even Thumbnail
Hardware • Robotics • Sales • Software • Hospitality
New York, NY
30 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account