Software Engineer, Fleet Platform

About the role

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

As Bedrock scales deployments nationwide, every machine we bring autonomy to has to be vetted, provisioned, calibrated, deployed, monitored, updated and serviced. Fleet Engineering builds the platform behind that lifecycle: the system of record, services and applications that teams across Bedrock use to run a fleet growing to thousands of machines. Many of these systems will be used by external partners as well.

The work crosses disciplines. One week you're architecting how we track sensor calibrations across every machine. The next, you're making a fault on an operator's tablet readable at a glance. You'll own problems end to end, working closely with technicians and operators in the field as well as multidisciplinary engineers across hardware, ML and robotics.

Also, you get to drive 100,000 lb excavators.

WHAT YOU'LL DO

- Own the fleet system of record: the data model and services for machines, their hardware, worksites and deployments, and how each moves through its lifecycle

- Build the applications that technicians, dispatchers and operations teams use every day to vet machines, schedule installs, track inventory and keep the fleet healthy

- Build the services every robot phones home to: delivering identity, credentials, calibrations and configuration to machines in the field, and always knowing what's running where

- Move petabytes of sensor data off remote job sites across the country, bringing home the real-world data that powers our ML and learning flywheel

- Spend real time with the people who use what you build, in the office and in the field, and turn messy real-world workflows into simple, durable software