Software Engineer, State Estimation & Localization

The role

You will develop state-estimation systems that allow autonomous machines to understand position, orientation, motion, and configuration. This role involves building production software that combines data from GNSS, IMUs, lidar, and machine sensors.

What you will do

• Design, implement, and deploy state-estimation and localization algorithms for autonomous construction machines
• Combine GNSS, IMU, lidar, and machine-sensor data into accurate, real-time estimates
• Improve reliability through sensor monitoring, consistency checks, fault detection, and redundancy
• Handle measurements that arrive late, out of order, intermittently, or not at all
• Build ground-truth systems, offline reference estimators, metrics, and regression tests
• Work on sensor calibration, clock synchronization, lidar-based arm estimation, and joint offline estimation
• Diagnose issues using field data, recorded-data replay, and simulation
• Collaborate with controls, perception, safety, hardware, and systems teams

Required qualifications

• 4+ years of professional engineering or applied research experience in state estimation, localization, navigation, SLAM, or sensor fusion
• Strong foundations in probabilistic estimation, linear algebra, 3D geometry, and numerical methods
• Hands-on experience with one or more of GNSS/INS fusion, Kalman filtering, factor graphs, lidar or visual odometry, point-cloud registration, or sensor calibration
• Strong production software skills in Rust or modern C++
• Experience measuring estimator performance using ground truth, recorded data, simulation, and real-world testing
• Strong debugging and data-analysis skills
• A degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related field, or equivalent practical experience

Nice to have

• Experience deploying state-estimation systems on autonomous vehicles, robots, or embedded platforms
• Experience with estimator monitoring, uncertainty, fault detection, redundancy, or safety-relevant systems
• Experience with nonlinear optimization, factor graphs, or smoothing
• Deep knowledge of GNSS, inertial sensing, lidar, sensor timing, calibration, and real-world failure modes
• Experience with lidar localization, ICP, continuous-time estimation, or articulated-machine estimation
• Experience building offline reference estimators or independent ground-truth systems
• Production experience with Rust
• Familiarity with construction, mining, agricultural, or other heavy industrial machines

About the company

Bedrock retrofits heavy equipment contractors already own, starting with excavators, to bring autonomy to the built world. The team includes veterans who helped launch Waymo, scaled Segment, and grew Uber Freight.