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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.
Bedrock is bringing autonomy to the construction industry! We're a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. We're growing our sizable fleet of retrofitted autonomous construction machines and we're looking for a motivated hardware engineering intern to support system testing and integration. You will work alongside senior engineers who design these systems, and you will help deliver robust and capable autonomous HW systems to the field.
Support the design, characterization, integration, and validation of Bedrock autonomy hardware and related systems, under the guidance of senior engineers.
Assist with component evaluations for our autonomous HW platforms
Write sensor data analysis and test automation scripts (Python and/or C++/C/Rust)
Run tests, collect data, and document results clearly for the engineering team
Currently pursuing a Bachelor's degree in Electrical Engineering, Mechatronics, or a related field
Solid foundational knowledge in HW engineering subjects such as mechanical, electrical, and embedded SW
Coursework or project experience with some or all of the following:
Embedded compute platforms, including single-board computers or edge compute modules
Common autonomous sensing technologies such as lidar, camera, radar, GNSS, or IMUs
Packaging and integration of HW systems, including basic mechanical or thermal considerations
Basic signaling and communication protocols such as CAN, UART, SPI, or Ethernet
Proficiency in one or more of Python, C/C++, or Rust, with the ability to write scripts for tests, data collection, or analysis
Strong fundamentals in circuits, signals, and basic mechanical design
Comfortable working in a lab environment with tools such as a multimeter, oscilloscope, function generator, soldering iron, or hammer when necessary :)
Prior co-op terms, personal projects, or club experience (e.g. UW Robotics, Formula Electric, WATonomous) in hardware or embedded systems
Expertise with camera, lidar, radar, IMU, or GNSS
Embedded compute platforms, in particular the Nvidia Jetson lineup
Communication protocols (CAN, UART, SPI, RS232/422/485, Ethernet, etc.)
Curiosity about autonomy and prior work in this area
Basic PCB design or schematic capture tools (KiCad, Eagle, Altium, Cadence, etc.)
Experience with version control (git) and collaborative engineering workflows
Familiarity with construction, off-road, or heavy equipment
A portfolio of personal or academic hardware projects (robotics, embedded systems, etc.)
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.
