About the role
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 of machine position, motion, and configuration
What they're looking for
- 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++. Our production stack is primarily Rust, and we will support experienced C++ engineers as they ramp up
- Experience measuring estimator performance using ground truth, recorded data, simulation, and real-world testing
- Strong debugging and data-analysis skills, including the ability to investigate problems across algorithms, software, sensors, and hardware
More about this role
At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
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 the state-estimation systems that allow autonomous machines to understand their position, orientation, motion, and configuration. You’ll build production software that combines data from GNSS, IMUs, lidar, machine sensors, and other sources in rugged environments the machines themselves are...
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