Autonomy V&V Test Engineer (Field & Simulation)

Bedrock Robotics

San Francisco (CA)

On-site

USD 28,000 - 41,000

Full time

4 days ago
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Job summary

Bedrock Robotics in San Francisco seeks a V&V Intern to own black-box testing of hardware actuators and help quantify and close the sim-to-real gap. You will work alongside construction veterans and world-class engineers to improve models and validate real-world performance on heavy equipment.

The role requires pursuing a BS, MS, or PhD in engineering, strong Python skills, and willingness to spend time on machines in PPE.

Qualifications

  • Currently pursuing a BS, MS, or PhD in mechanical, computer science, electrical, aerospace, or robotics engineering — or bringing equivalent hands-on experience.
  • Working understanding of controls or system identification fundamentals.
  • Python for analysis and automation.
  • Hands-on experience with sensors, DAQ, or test benches.
  • Willingness to spend real time on machines in the field, in PPE.

Responsibilities

  • Develop and execute black-box test plans that characterize actuator behavior on machines and test stands.
  • Instrument hardware, set up data acquisition, and collect clean, trustworthy datasets.
  • Characterize response behavior — latency, deadband, hysteresis, saturation — and how it shifts with temperature, load, and wear.
  • Compare real machine data against simulation output and quantify where they diverge.
  • Feed your findings to the controls and simulation teams as concrete model improvements.
  • Automate test execution and reporting so these runs become routine.

Skills

Python
Controls fundamentals
Sensors & DAQ

Education

BS/MS/PhD in mechanical, CS, electrical, aerospace, or robotics engineering (or equivalent hands-on)

Tools

ROS
Gazebo
MuJoCo
Isaac

Job description

Bedrock Robotics in San Francisco seeks a V&V Intern to own black-box testing of hardware actuators and help quantify and close the sim-to-real gap. You will work alongside construction veterans and world-class engineers to improve models and validate real-world performance on heavy equipment.

The role requires pursuing a BS, MS, or PhD in engineering, strong Python skills, and willingness to spend time on machines in PPE.

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