Validation & Verification Test Engineer, Internship

• Develop and execute black-box test plans characterizing actuator behavior on machines and test stands
• Instrument hardware, set up data acquisition, and collect clean, trustworthy datasets
• Characterize response behavior including latency, deadband, hysteresis, and saturation across temperature, load, and wear conditions
• Compare real machine data against simulation output and quantify divergences
• Provide findings to controls and simulation teams as concrete model improvements
• Automate test execution and reporting
• Work on autonomous systems for heavy construction equipment, improving job-site safety and accelerating infrastructure project schedules

• 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
• Exposure to hydraulics or heavy equipment (preferred)
• Experience with a robotics simulator such as Isaac, Mu Jo Co , Gazebo, or similar (preferred)
• Familiarity with ROS or comparable robotics middleware (preferred)
• Legally authorized to work in the United States
• Ability to commute to the San Francisco office 3–4 days a week

Demonstrates expertise in developing and executing black-box test plans for actuator behavior, utilizing Python for analysis and automation. Proficient in data acquisition and characterization of response behavior in autonomous systems for heavy construction equipment.