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Staff Electrical Systems Engineer

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Onsite

Staff Electrical Systems Engineer

Rivian

Staff Electrical Systems Engineer

Skills

RAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Palo Alto, CA, USA

Work mode:

Onsite

Published on:

9 September 2026

What they need


Role is on a nascent team exploring hardware projects supporting and enhancing Rivian’s autonomy goals and ability to overdeliver on automotive capability, reliability and ultimately customer experience. The work is to demonstrate how design and ownership of some infrastructure hardware is a force multiplier for realizing Rivian’s ambitious goals or quickly demonstrating that it is not a path worth pursuing.

  • Collaborate with colleagues on exploring hardware proposals, capturing purpose and minimum requirements to vet proof-of-concept designs.

  • Find sponsors and present technical cases for funding the exploration of infrastructure hardware supporting autonomy goals.

  • Own the System Level Design, including component selection, system architecture definition, and schematic capture/layout.

  • Engage adjacent SW, Mechanical, and Thermal teams to ensure cohesive cross-functional ownership and delivery of solutions.

  • Lead bring-up, debug, and delivery of POC systems to consumer teams for evaluation while planning for future volume scaling.

  • Bachelor’s or Master’s degree in Electrical Engineering, Systems Engineering, or a related field with 8+ years of industry experience.

  • Proficiency with Electrical CAD tools (e.g., Altium, Cadence, or Zuken) for complex schematic capture and PCB layout oversight.

  • Strong background in system architecture design, component selection, and high-speed digital or power electronics design.

  • Experience driving hardware projects from concept through validation in a fast-paced R&D or nascent product environment.

  • Excellent cross-functional communication skills to collaborate with software, mechanical, and thermal engineering teams.

Preferred Qualifications:

  • Prior experience with sensor fusion
  • Prior experience with AI hardware accelerators
  • Familiarity with hardware-in-the-loop (HIL) testing
  • Familiarity with Data Center Infrastructure

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