Software Engineer, Calibration

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 develop calibration systems for the sensors and articulated geometry of our autonomous construction machines. Every machine we retrofit is different. There is no factory line to calibrate it on, and construction work shakes and knocks sensors out of place. You’ll build the algorithms and procedures that calibrate each machine, verify calibration accuracy to qualify it for autonomous operation, and detect when calibration degrades in the field.

Depending on your background, you may focus on sensor calibration, articulated-machine geometry, or validation and monitoring. You’ll write production software, test on real machines, and make sure field teams can run calibration independently across machine types. We’re hiring at mid and senior levels, with scope matched to experience.

What You’ll Do

• Develop and deploy intrinsic and extrinsic calibration algorithms for our sensors (cameras, lidars, GNSS, IMU), and procedures for reasoning about machine geometry
• Build calibration procedures that field teams can run without engineering involvement, on machines of varied types in active use at job sites
• Own calibration verification methods used to qualify machines for autonomous operation, distinguishing a good numerical fit from accurate calibration through independent measurements and system-level testing
• Define quantitative calibration quality metrics and acceptance criteria tied to machine performance
• Develop methods to detect degraded calibration on working machines, partnering with Foundations engineers to run these checks across the fleet
• Diagnose calibration failures across sensor and kinematic models, timing, mounting, and data quality,
• Test improvements using recorded data and physical machines, working with estimation, perception, hardware, and field teams to resolve field issues

What We're Looking for

• 4+ years of professional engineering or applied research experience in calibration, robotics, computer vision, or a related field, or a proven track record of delivering calibration systems for real-world applications
• Strong foundations in linear algebra, 3D geometry, nonlinear optimization, and numerical methods
• Hands-on experience developing sensor or kinematic calibration methods, including understanding the underlying models and what makes their parameters observable
• Experience validating calibration accuracy beyond an optimizer’s residuals, and investigating failures using real sensor or machine data
• 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
• A degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related field, or equivalent practical experience

One or more of the following

• Experience with in-field, target less, or online calibration, or with calibrating articulated machines
• Experience formulating and solving large nonlinear optimization problems, such as bundle adjustment or joint estimation of calibration, timing, and motion
• Production experience with Rust

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