4+ years in calibration, robotics, computer vision, or related fields
Strong foundation in linear algebra, 3D geometry, and numerical methods
Hands-on experience with sensor or kinematic calibration methods
Experience validating calibration accuracy using real data
Proficient in Rust or modern C++ programming languages
Degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or equivalent experience
Responsibilities
Develop and deploy calibration algorithms for sensors and machine geometry
Create user-friendly calibration procedures for field teams
Own verification methods for qualifying machines for autonomous operation
Define calibration quality metrics and acceptance criteria
Develop methods to detect degraded calibration in the field
Diagnose calibration failures across various models and data quality
Test calibration improvements using real data and collaborate with teams
Benefits
Opportunity to work on cutting-edge autonomous technology
Collaborative environment with cross-functional teams
Hands-on experience with real-world applications
Potential for career growth in a rapidly evolving field
Flexible work arrangements with onsite options in the Bay Area
Full Job Description
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. You9ll 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. You9ll write production software, test on real machines, and make sure field teams can run calibration independently across machine types. We9re hiring at mid and senior levels, with scope matched to experience.
What you9ll do
Develop and deploy intrinsic and extrinsic calibration algorithms for our sensors (cameras, lidars, GNSS, IMU, encoders), 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, and run these checks across the fleet
Diagnose calibration failures across sensor and kinematic models, timing, mounting, and data quality,
Test calibration improvements using recorded data and physical machines, working with estimation, perception, hardware, and field teams to resolve field issues
What we9re 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 optimizer9s 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 shipping software on robots, vehicles, or other machines in the field
Experience with in-field, targetless, 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
