Advanced Autonomy for the Built World.
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years building and shipping production software, owning systems from design through operation
- Strong backend and data-modeling skills: you've designed schemas and services that many other systems depend on
- Ability to build full-stack applications, including interfaces people actually want to use
- Product sense: you start from the user's problem and would rather ship the useful version than the elegant one
- Comfort with ambiguity: you can take a vague cross-functional problem, define it, and drive it to done
- Clear communication with teams outside engineering. Your users may operate excavators, repair hardware in the field, or work directly with customers
More about this role
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,...
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