- Robot type
- Construction
- Location
- San FranciscoCaliforniaUSA
- Job type
- Hardware
- Posted
- Sep 25, 2026
2027 Internship State Estimation, Learned Mapping & Semantic SLAM
Job description
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.
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry…
Job responsibilities
- Prototype learned SLAM and mapping methods, such as place recognition, odometry, depth completion, and neural occupancy or surface representations
- Fuse lidar and camera segmentation into consistent 3D semantic maps, potentially using vision foundation models or open-vocabulary segmentation
- Develop methods that handle changing terrain, moving material, sparse returns, dust, occlusion, and perceptual aliasing
- Train models on fleet lidar and camera data, and build evaluation pipelines to compare mapping and localization performance against existing methods and ground truth
- Work with perception and planning teams to identify the map properties that matter most for downstream decisions
- Deliver a documented prototype, experimental results, and recommendations for future work
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