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Applied Intuition

Electrical Engineer - New Grad (December 2026)

Sunnyvale$110k–$148kfulltimeentryAdded 2 days ago

About this role

Applied Intuition is seeking a new graduate Electrical Engineer to design and develop custom compute, sensor, and electrical hardware for autonomous vehicles and industrial equipment. You'll work across the full hardware lifecycle—from schematic and PCB design through bring-up, validation, and production support—collaborating with firmware, software, and mechanical teams.

What you'll do

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

What they're looking for

  • Circuit design and schematic development
  • PCB layout and design
  • Digital and analog electronics
  • Lab equipment operation (oscilloscopes, multimeters, logic analyzers)
  • Reading schematics and datasheets
  • Hardware debugging and validation
  • Communication protocols (CAN, LIN, Ethernet, SPI, I2C)
  • High-speed digital design or power electronics
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Applied Intuition

Applied Intuition builds autonomous vehicle and defense systems software, including motion planning algorithms, simulation infrastructure, and autonomy integration platforms for aerial and ground platforms. The company is hiring for security engineers, robotics/autonomy software engineers, hardware-in-the-loop specialists, and IT operations professionals to support its growing physical AI operations.

View all jobs at Applied Intuition

Likely interview questions

  • Walk us through a PCB design or schematic you created—what were the key challenges and how did you address them?
  • Describe your experience debugging hardware issues using lab equipment; what was the most complex problem you solved?