
Bedrock Robotics enables construction companies to operate heavy equipment autonomously to increase speed and safety on job sites. The company retrofits existing earthmoving and construction machinery with autonomy stacks—combining AI perception, sensor suites (LiDAR, cameras), controls software, and teleoperation interfaces—to deliver expert-level task execution and enhanced safety. It operates as a B2B robotics and autonomy platform for contractors, builders, and equipment owners, integrating with construction workflows and fleet management systems. Bedrock targets large-scale infrastructure, housing, and industrial construction markets where labor shortages and schedule pressure drive demand for autonomous equipment.

Bedrock Robotics enables construction companies to operate heavy equipment autonomously to increase speed and safety on job sites. The company retrofits existing earthmoving and construction machinery with autonomy stacks—combining AI perception, sensor suites (LiDAR, cameras), controls software, and teleoperation interfaces—to deliver expert-level task execution and enhanced safety. It operates as a B2B robotics and autonomy platform for contractors, builders, and equipment owners, integrating with construction workflows and fleet management systems. Bedrock targets large-scale infrastructure, housing, and industrial construction markets where labor shortages and schedule pressure drive demand for autonomous equipment.
What they do: Retrofit existing construction and earthmoving equipment with autonomy stacks (Bedrock Operator) for site-level autonomous operation.
Founded: 2024
Public launch & raise: Announced July 16, 2025 with an $80M financing round
Headquarters / market: B2B construction / large-scale infrastructure, housing, and industrial construction
| Company |
|---|
Construction equipment autonomy and automation for earthmoving and heavy machinery
2024
Construction
80000000
Public launch announced with an $80M financing round
Join the team bringing advanced autonomy to the built world
At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.
Machine Learning Evaluation Engineer 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 looking for a highly motivated engineer with experience evaluating complex ML systems deployed in the real world. Your Mission: Translate the infinite nuance of the built world into actionable, AI-native evaluations that accelerate Bedrock Operator adoption.
The ideal candidate has hands-on experience in building evaluation systems and designing and executing statistical tests to gauge performance deltas between system iterations. More importantly, you’ve iterated on complex ML systems run in production environments, and you understand the complexities that come with it.
What You’ll Do Design and maintain eval systems:
Develop Metrics
Classify Data Sources For Training And Testing
Predict System Performance
What We’re Looking For
Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.
Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.