Job description

JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver them more predictably. In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the West, South, and Midwest. In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks. 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. ABOUT THE ROLE & TEAM 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. WHAT YOU'LL DO - 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 WHAT WE'RE LOOKING FOR REQUIRED - 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 PREFERRED - Exposure to hydraulics or heavy equipment - Experience with a robotics simulator (Isaac, MuJoCo, Gazebo, or similar) - Familiarity with ROS or comparable robotics middleware About This Internship This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited." Bedrock Robotics is an Equal Opportunity Employer We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.

Requirements

Must-haves

JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD
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
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

Nice-to-haves

Exposure to hydraulics or heavy equipment
Experience with a robotics simulator (Isaac, MuJoCo, Gazebo, or similar)
Familiarity with ROS or comparable robotics middleware

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipython

Platform: ashby
Effort: quick