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Bedrock Robotics

Internship 2027 Sensor Hardware Test Engineer

San Francisco, CA (Remote)interninternAdded 3 days ago

About this role

Bedrock is seeking a Sensor Hardware Test intern to validate and characterize cameras, lidar, and supporting sensors for autonomous excavators. You'll design test fixtures, run structured lab campaigns, process sensor data, and support field deployments on active construction equipment to inform hardware selection.

What you'll do

  • Build and iterate test fixtures, mounts, wiring harnesses, and DAQ integration for sensor characterization
  • Execute structured sensor test campaigns in the lab following defined procedures and document repeatable data
  • Deploy test setups at field sites and support live testing on active construction equipment
  • Develop automation tools to collect, process, and analyze raw sensor logs against pass/fail criteria
  • Source and select test equipment including light meters, targets, DAQ hardware, and environmental test rig components
  • Support electrical and mechanical debugging of test hardware and assist with fixture CAD design

What they're looking for

  • Python for data processing, scripting, and automation
  • Lab equipment operation (multimeters, oscilloscopes, DAQ systems)
  • Hands-on hardware building and testing
  • Technical documentation and communication
  • Camera, lidar, radar, or sensor hardware knowledge (preferred)
  • CAD tools for mechanical design (preferred)
  • Git and collaborative development (preferred)
  • Robotics or autonomous systems fundamentals (preferred)
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Bedrock Robotics

Bedrock Robotics develops autonomous construction machinery powered by AI and robotics technology. The company is hiring for roles spanning developer infrastructure, simulation systems, hardware engineering, field robotics application, and frontend engineering to support the development and deployment of autonomous excavators and heavy equipment.

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Likely interview questions

  • Walk us through a hardware project you built or tested—what challenges did you face and how did you debug them?
  • Describe your experience with Python for data processing. What tools or libraries have you used to analyze sensor or experimental data?
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