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San Francisco, California, United States
Onsite
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 more of the critical infrastructure our society needs.
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 South, Midwest, and Mid-Atlantic
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.
Every new machine type we bring into the fleet raises the same question from scratch: which sensors, where do they go and what are they used for? The Systems / Sensors team answers it with analysis rather than guesswork, trading off coverage, cost, durability, and what will actually survive on a jobsite. As our Sensor Systems intern, you'll own sensor selection and placement analysis for a new machine platform, from first trade study to validation on real steel.
Work at the intersection between sensor physics, autonomy systems architecture, mechanical integration and design.
Analyze sensor coverage, occlusion, and blind spots for candidate sensor suites on new machine types
Build or extend tooling that models field of view, range, and coverage geometry
Run trade studies weighing performance against cost, durability, and mounting constraints
Prototype mounting concepts and validate coverage assumptions on actual machines
Turn your analysis into sensor requirements and specs the hardware team can build to
Work across perception, hardware, and safety to make sure the suite serves everyone downstream
Currently pursuing a BS, MS, or PhD in an engineering or engineering-adjacent discipline such as mechanical, electrical, physics, mechatronics, robotics, or computer science (or bringing equivalent hands-on experience)
Solid grasp of 3D geometry, coordinate frames, and transforms
Python for analysis and tooling
CAD fluency - enough to reason about where hardware physically goes
Willingness to go to mock construction sites and test sensor configurations
Experience with device physics, ray tracing, rendering or coverage simulation
Familiarity with autonomous vehicle sensor suites
Exposure to heavy equipment or off-road machinery
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.
