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Torc Robotics

Hardware Engineer I - Sensors

Ann Arbor, MIFrom $118.6kmidAdded today

About this role

Join Torc's Sensors Team as a Hardware Engineer I to develop and validate sensors for autonomous trucks. You'll design test plans, work with suppliers and cross-functional teams, and ensure sensors meet automotive-grade performance standards through lab and field testing.

What you'll do

  • Design and execute test plans to validate sensor functionality across multiple modalities (LiDAR, Radar, Camera, etc.)
  • Perform lab-based testing and real-world field trials to verify automotive-grade sensor performance
  • Decompose system-level requirements into detailed component specifications with the Systems team
  • Conduct root cause analysis and problem-solving during design, prototype, and production phases
  • Partner with Component Enablement software team to execute hardware component tests
  • Create and maintain technical documentation and test reports

What they're looking for

  • Sensor modalities (LiDAR, Radar, Camera, Microphones, INS)
  • Requirements management tools (DOORS, Jama)
  • Automotive ECU architecture and methodologies
  • Data bus protocols (CAN, PCIe, Ethernet, Automotive Ethernet, LIN, I2C)
  • Lab equipment (oscilloscopes, multimeters)
  • High-speed signaling and signal integrity analysis
  • Automotive electronics standards and regulations
  • Test plan design and execution
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Torc Robotics

Torc Robotics develops autonomous driving software and systems for trucks. The company is hiring systems engineers, software engineers, and test automation specialists to build validation frameworks, integration environments, and web applications that ensure the reliability and quality of their autonomous vehicle technology.

Website
torcrobotics.com
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Likely interview questions

  • Describe your experience designing and executing sensor validation test plans. How did you ensure traceability to component requirements?
  • Tell us about a time you worked with multiple sensor modalities. How did you approach validating their performance in automotive applications?
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