Senior Systems Design Engineer

Reposted 8 Days Ago
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Santa Clara, CA, USA
In-Office
136K-259K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Designs and develops GPU, CPU, and Tegra SoC-based hardware systems. Responsibilities include schematic creation, PCB layout oversight, system validation, product bring-up, board-level debugging, circuit optimization, manufacturing documentation, and collaboration with hardware and software engineering teams to balance cost, performance, and schedule.
Summary Generated by Built In

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/CPU/SoC based products for GPU cards, Datacenters, automotive, robotics, industrial PC, consumer electronics, etc. 


NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/CPU/SoC based products for GPU cards, Datacenters, automotive, robotics, industrial PC, consumer electronics, etc.


What You'll be Doing:

  • Build system hardware products around GPU, CPU & Tegra SoC.
  • Collaborate with cross-functional team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects.
  • Drive initial bringup and test, lead the debug efforts.
  • Create schematic, supervise PCB layout and system validation.
  • Handle documentation required to release the product to manufactures and partners.
  • Optimize/invent circuits, functions for better performance, and lower cost.
  • Improve the design flow together with the infrastructure team.

What We Need to See: 

  • B.S in Electrical Engineering or equivalent experience.
  • 3+ years of proven experience.
  • Strong technical EE and hardware system design fundamentals and experience.
  • Strong analytical skills including experience in PCB and system design and review.
  • Hands-on bring-up experience, with the ability to lead and drive bring-up efforts independently.
  • Strong board-level and system-level debugging skills, with the ability to guide the validation team through issue    investigation and resolution during validation.
  • Strong experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers.
  • Flexible, team-oriented attitude, able to adapt to dynamic engineering environment
  • Excellent communication skills 

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 degree in Electrical Engineering or equivalent experience
  • 3+ years of proven experience
  • Strong electrical engineering and hardware system design fundamentals
  • Experience with PCB and system design and review
  • Hands-on hardware bring-up experience and ability to lead bring-up efforts independently
  • Board-level and system-level debugging skills
  • Experience guiding validation teams through issue investigation and resolution
  • Experience using oscilloscopes, multimeters, and logic analyzers
  • Flexible, team-oriented attitude adaptable to a dynamic engineering environment
  • Excellent communication skills

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 — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
  • Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
  • Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.

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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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