Electrical Engineer — Autonomous Vehicle Hardware

applied

Sunnyvale (CA)

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Job summary

Applied Intuition, Inc. is seeking Electrical Engineers to design and build compute, sensor, and interface hardware for autonomous and AI-driven vehicles. You will work across the full hardware lifecycle—from schematic design and PCB layout to bring-up, validation, and production support.

You will collaborate with firmware, software, and mechanical teams to ship reliable systems for production vehicle programs, with in-office expectations for full-time staff.

Qualifications

  • BS/BA, MS, or PhD in Electrical Engineering or a related field.
  • Strong fundamentals in circuit design and PCB layout.
  • Experience with hardware bring-up and validation.
  • Ability to read schematics and datasheets.

Responsibilities

  • Design and review schematics and PCB layouts for compute, sensor, and interface hardware.
  • Support hardware bring-up and debug, including board- and component-level troubleshooting.
  • Develop and execute test plans to validate hardware performance and reliability.
  • Collaborate with firmware and software to integrate hardware with embedded systems.
  • Coordinate with vendors for prototyping, DFM/DFT reviews, and production ramp.
  • Contribute to hardware documentation including schematics, BOMs, and test reports.

Skills

Schematic design
PCB layout
Hardware bring-up
Lab equipment
Embedded integration

Education

BS/BA in Electrical Engineering
MS/PhD in Electrical Engineering

Tools

Oscilloscopes
Multimeters
Logic analyzers

Job description

Applied Intuition, Inc. is seeking Electrical Engineers to design and build compute, sensor, and interface hardware for autonomous and AI-driven vehicles. You will work across the full hardware lifecycle—from schematic design and PCB layout to bring-up, validation, and production support.

You will collaborate with firmware, software, and mechanical teams to ship reliable systems for production vehicle programs, with in-office expectations for full-time staff.

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