Senior System Design Engineer

Reposted 12 Hours Ago
Be an Early Applicant
Austin, TX, USA
In-Office
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and validate GPU/Tegra-based systems: create schematics, supervise PCB layout, lead bring-up and debug, perform system validation, collaborate on cost/performance tradeoffs, and produce manufacturing documentation.
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/Tegra based products for GPU cards, MGX servers, automotive, robotics, industrial PC, consumer electronics, etc.

What You'll be Doing:

  • Build system hardware products around GPU & Tegra SoC.

  • Collaborate with cross-function team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects.

  • Drive initial test and bringup, 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 or M.S. in Electrical Engineering or equivalent experience.

  • 6+ years of proven experience.

  • Have strong analytical skills including past experience in PCB design and review.

  • Experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers.

  • Possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS’s

  • Strong verbal and written skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you!

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 February 24, 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

Gpu
Linux
Logic Analyzer
Multimeter
Oscilloscope
Pcb Design
Tegra Soc
Windows
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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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