State-Estimation Software Engineer for Autonomous Machines

Apply; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Onsite SF office 3 days/week

Reasonable Accommodations

Job summary

Bedrock Robotics seeks a talented Software Engineer to develop state-estimation and localization for autonomous construction machines. You will fuse GNSS, IMU, lidar, and machine sensors to produce real-time position and motion estimates, with a focus on reliability and safety in rugged environments.

Your work spans algorithm design, production software, data analysis, and testing on real machines, collaborating across controls, perception, safety, hardware, and systems teams.

Qualifications

• 4+ years of professional engineering or applied research 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 GNSS/INS fusion, Kalman filtering, factor graphs, lidar or visual odometry, or sensor calibration
• Strong production software skills in Rust or modern C++. Our stack is Rust, with C++ ramp-up supported
• Experience measuring estimator performance using ground truth, recorded data, simulation, and real-world testing
• Strong debugging and data-analysis skills across algorithms, software, sensors, and hardware
• A degree in Robotics, CS, ECE, ME, Applied Math, or related field, or equivalent practical experience

Responsibilities

• Design, implement, and deploy state-estimation and localization algorithms for autonomous construction machines
• Combine GNSS, IMU, lidar, and machine-sensor data into real-time estimates of position, motion, and configuration
• Improve reliability through sensor monitoring, consistency checks, fault detection, trustworthy confidence estimates
• 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, then test improvements on physical machines
• Collaborate with controls, perception, safety, hardware, and systems teams to improve the performance of the complete autonomy system

Skills

State estimation

Localization

Navigation

Sensor fusion

Rust

C++

Ground truth

Data analysis

Debugging

Engineering degree

Education

Robotics/CS/ECE/ME degree

Tools

GNSS

INS

Kalman filtering

Factor graphs

Lidar/VO

Sensor calibration

Job description

Bedrock Robotics seeks a talented Software Engineer to develop state-estimation and localization for autonomous construction machines. You will fuse GNSS, IMU, lidar, and machine sensors to produce real-time position and motion estimates, with a focus on reliability and safety in rugged environments.

Your work spans algorithm design, production software, data analysis, and testing on real machines, collaborating across controls, perception, safety, hardware, and systems teams.