2027 Internship Hardware Engineer
- Compensation
- Not disclosed
- Location
- San Francisco, CA
- Work setup
- Onsite
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Hardware
- Posted
Skills
Must have
- 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
- 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 :)
Nice to have
- 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.)
Full 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 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.
About the Role & Team
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.
What You'll Do
- 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
What We're Looking For
Required
- 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