Software Engineer, Calibration
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Bedrock Robotics scores A on the Alion truth index.
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
Ways to stand out
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
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.