System Level Product Development Engineer

Reposted 9 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
160K-305K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves solving complex testing challenges, characterizing chips, and collaborating with various engineering teams to enhance workflows and performance.
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).

  • 8+ 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 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.

Top Skills

Gddr Memory
Hbm
Python
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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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