Internship 2027 Validation & Verification Test Engineer

1 мес. назад

СШАTraineeHybrid

data acquisitionhardware instrumentationtest planning

Internship role to develop and execute black-box test plans for hardware actuators in autonomous construction equipment.

Simulation is how we move fast, but a sim is only as good as the machine model underneath it. The V&V team measures what real actuators and real environments actually do, and feeds that back until sim and reality agree. As our V&V intern, you'll own black-box testing of hardware actuators and help quantify and then close the sim-to-real gap.
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

At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
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