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.
Bedrock's Product team decides what our autonomous machines should learn to do next. We also make sure the people who work alongside them get real value from them: operators, site managers and the construction companies we partner with. Our problems rarely arrive as specs. Which task or machine type is worth taking on next? How do you turn "digs like an expert" into a number you can measure? What does a partner need to see before trusting a 40-ton machine on their site?
As our Product intern, you'll get a problem like that, not a task list, and own it for the summer. You'll frame it, work out the answer, build what's needed, and bring the team a recommendation they can act on. You'll work the way our team does: with AI tools in hand, going from question to working prototype in days, not weeks.
Own an open product problem end to end: frame it, find the data and the people who know, decide what to build, and ship it before the summer ends
Turn fleet data from real jobsites into decisions: how well our machines perform, where they struggle, and what that means for what we build next
Prototype with AI coding tools and agents: internal tools, data pipelines, automated workflows, and working demos that make an idea concrete instead of slides about it
Spend time at our field sites with operators and site teams, and turn what you see into requirements engineers can build against
Work across autonomy, evaluation, operations and commercial teams to pressure-test ideas and unblock yourself
Write up your findings and present a clear recommendation to leadership: what you found, what you built, and what we should do next
Currently pursuing a BS or MS in computer science, engineering, math, economics or another technical or quantitative field, or bringing equivalent experience building things
A track record of agency: you've taken on a problem nobody assigned you (a project, a tool, a company, a research question) and carried it to a real result
AI-native: you use tools like Claude Code, Cursor or Codex every day to build, analyze and write, and you know how to check their output and when not to trust it
Hands-on with data: Python or SQL, plus comfort reading code and following a technical discussion with engineers
Clear, concise writing: you can turn a messy problem into a one-page recommendation someone can act on
Willingness to spend time at our field sites, in PPE, around heavy equipment
Something you built that real people use: an app, an internal tool, an open-source project, a startup
Prior product, engineering or founding-team experience at a startup
Experience with robotics, autonomy, ML or data-heavy products
Interest in construction or other physical-world industries; no prior experience needed
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.