Software Engineer, State Estimation Foundations

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.

We’re looking for a Software Engineer to build the software foundations of our state estimation program, spanning pose, calibration, and mapping. You’ll develop libraries, interfaces, and infrastructure used across the autonomy stack to enable safe, precise operation. You’ll help us track our excavator’s articulated arm, and represent the site it’s actively reshaping. You’ll leverage the type system to prevent coordinate-frame errors, and provide idiomatic, ergonomic interfaces for querying pose across a wide variety of vehicle platforms.

If you’ve built production software for localization, mapping, or calibration on robots or autonomous vehicles, this role is a natural fit. Experience with game engines, graphics software, or replay systems also applies. You don’t need a background in filtering or estimation theory. You’ll work daily alongside engineers who specialize in it. Depending on your background, you may focus on geometry and kinematics APIs, replay and evaluation infrastructure, or fleet and map data systems. We’re hiring at mid and senior levels, with scope matched to experience.

What You’ll Do

• Design and own core geometry and kinematics libraries that teams across the autonomy stack rely on to represent coordinate frames, transforms, and machine motion consistently
• Build pose and trajectory APIs that return machine state, including arm joint positions, at any timestamp, across machine types and sensor configurations
• Develop infrastructure that brings offline estimates into resimulation and training and runs regression tests against reference estimates, working in partnership with estimation experts
• Build monitoring that detects when a sensor on a working machine has shifted out of calibration
• Build storage and versioning for maps of sites that change every day
• Diagnose issues from machines working on live job sites and optimize software performance, using recorded data, simulation, and testing on physical machines

What We're Looking for

• 4+ years of professional software engineering experience, or a substantial record of shipping production systems or libraries that other engineers depend on
• Working knowledge of linear algebra and 3D rigid-body transforms, including rotations, coordinate frames, and composing transformations
• Ability to implement and test numerical code from an algorithm engineer’s specification, including reasoning about numerical precision, boundary conditions, and correctness
• Strong production software skills in Rust or modern C++. Our production stack is primarily Rust, and we will support experienced C++ engineers as they ramp up
• Strong debugging and performance-analysis skills, including tracing problems across components and building tests and diagnostics to reproduce failures and prevent regressions
• A degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field, or equivalent practical experience

One or more of the following

• A track record of building shared libraries or APIs adopted by other engineering teams
• Experience shipping software on robots, vehicles, or other machines in the field
• Production experience with Rust, including using types to enforce units, coordinate frames, or similar correctness guarantees
• Experience with numerical optimization software
• Experience with embedded or real-time systems

Other Special Aspects of the Role

• Based in the Bay Area with the ability to be onsite at our SF office on a daily/weekly basis