Lead Design Engineer - Autonomous Vehicles

Reposted 23 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 Lead Design Engineer will create and manage innovative designs for automotive harnesses and setups, collaborating with vendors and leading projects to meet engineering build expectations.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Our team takes pride in working on innovative assisted and autonomous driving technologies and products. In this role, you are at the forefront to create and design innovative solutions to common problems arising with ambitious requests around the implementation of our automotive technologies in benches and vehicles. These can be challenges around electrical, mechanical or thermal topics, that require out of the box thinking paired with experience and constant striving for excellence and cover schematics, BOMs, mechanical designs, harness designs and similar. You strive in planning and engineering automotive/vehicle/bench setups with excellence and dedication from early ideas to prototypes and in the end scalable solutions.

What you'll be doing:

  • Design the routing and retention of harnesses, cables, and connectors to ensure ease of assembly, serviceability, and robust functionality

  • Develop BOMs, wire, and material specifications

  • Create and manage CAD (3D models, assemblies, 2D drawings) using eg SolidWorks and Altium (LV, HV, high-speed vehicle interconnects, mechanical brackets, templates)

  • Conceptualise with prototyping to find innovative solutions for our autonomous vehicle setups including compute and sensor technologies (LiDAR/RADAR/cameras)

  • Working with OEMs, vendors and partners (current and potential) to identify the best engineering solution for Nvidia’s vehicle platform

  • Regularly provide leadership team with project status reports

  • Drive priorities to ensure we meet expectations of our requestors with our engineering builds

What we need to see:

  • BS, MS, or PhD Engineering degree or equivalent experience

  • 5+ years of relevant experience

  • Proven experience in automotive wire harness design, mechanical designs and thermal solutions (eg IPC/WHMA-A-620 standard)

  • Ability to source, manage, and maintain relationships with vendors & suppliers for manufacturing & materials

  • Strong manufacturing and R&D background and Knowledge of project management techniques and tools

  • Capability to quick learn, understand, communicate and integrate technical concepts and issues

Ways to stand out from the crowd:

  • Deep understanding of technology and passionate about what you do

  • Strong collaborative and social skills, and ability to effectively guide and influence within a dynamic, multifaceted environment

  • Successfully delivering products from concept through launch

  • Deep understanding of product development processes, including fundamentals of automotive electronics, sensors and software

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 June 28, 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

  • BS, MS, or PhD Engineering degree or equivalent experience
  • 5+ years of relevant experience
  • Proven experience in automotive wire harness design, mechanical designs and thermal solutions
  • Ability to source, manage, and maintain relationships with vendors & suppliers
  • Strong manufacturing and R&D background

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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