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.

The Role:

Take on a lead role in designing and building the core services and infrastructure that will power the next generation of autonomous construction equipment. From fleet management to autonomous task orchestration and machine coordination- you’ll work with a world class engineering team to build and design the core infrastructure that powers our machine interfaces, workflows, and services.

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

What You'll Do:

• Own the design, architecture, implementation and iteration of 0-to-1 services and infrastructure to support autonomous operations and distributed fleet management
• Develop data intensive services for machine operators to visualize and monitor robotics systems
• Partner closely with a full stack team (from Frontend, to ML and Robotics) to design technical solutions efficiently, be comfortable with rapid prototyping and experimentation
• Build tooling to streamline processes such as autonomous testing, model deployments, and in-the-field fleet management
• Establish our core backend frameworks, patterns, and infrastructure

Required Qualifications:

• 6+ years of professional experience owning the design, architecture and implementation of backends to highly complex, business critical applications