Hardware Engineer, Autonomy Platforms

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.

As a Hardware Engineer on the Autonomy Platforms team you will architect, source, build, and bring to life the key hardware systems that enable autonomy on our machines. You will work with a wide range of engineering teams within Bedrock (product, commercial, perception, behavior, controls, platform integration, supply chain, and more) to drive consensus on critical HW system functionality and decomposition.

You will work alongside other HW engineers to bring about these components, ensuring the platform meets our high performance bars and works reliably in the harsh environments that we deploy into.

The candidate will be responsible for designing, characterizing, integrating, and validating Bedrock autonomy hardware.

• Help define system and component level HW architecture for autonomous machines

• Establish and lead relationships and programs with external vendors to deliver critical components and systems for our autonomous HW platforms

• Work with other HW platform engineers to bring together a cohesive and high performance system that is flexible and modular

• Work with safety team to establish requirements and performance metrics for components and systems

• Write reusable, high quality, data analysis and test automation software (Python and/or C++/C/Rust)

Required:

• Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, or related field

• Hands on experience with design and testing of autonomy HW such as sensing, compute, HMI, connectivity, and machine control interfaces

• Strong foundational knowledge in traditional HW engineering subjects such as electrical design, high and low speed communication protocols, power electronics, bring-up and testing, and deployment of hardware systems in rugged outdoor environments

• Experience leading large HW development programs from ideation through proto, EVT, DVT, and production stages

• Experience with some of the following:

  • High performance/power edge compute including multi-CPU platforms (x86, ARM) with significant GPU resources, including experience around power and cooling (air/liquid)

  • Common autonomous sensing technologies including lidar (spinning, flash), camera (visible, SWIR, NIR, etc), radar, RTK GNSS, and IMU

  • Remote operator stations including ergonomic human interfaces, low latency information display, and safety critical design

  • HMI deployment in rugged (high shock/vibe and temp) environments including screens and/or tablets

  • Packaging and…