2027 Internship State Estimation, Learned Mapping & Semantic SLAM
San Francisco, CAInternPosted 3w ago
About the role
Internship focused on learning-based SLAM, mapping, and semantic 3D localization for autonomous excavators on construction sites. Work includes prototyping learned SLAM methods, fusing lidar/camera data into 3D semantic maps, and evaluating against baselines with real fleet data.
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
Qualifications
- Pursuing a BS, MS, or PhD in computer science, robotics, electrical engineering, or a related field, or equivalent research or industry experience
- Strong Python skills and hands-on model training experience with PyTorch or a similar framework
- Solid understanding of 3D geometry, coordinate frames, and transforms
- Familiarity with SLAM and mapping fundamentals, point clouds, or depth data
- Comfort with messy sensor data and designing experiments that distinguish real improvements from noise
Skills
Required:PythonPyTorch3D geometry and transformsSLAM and mapping fundamentalsSensor data experimentation
Last updated Oct 15, 2026. Interested? Apply on the company site.
About Bedrock Robotics
Advanced Autonomy for the Built World
Advanced Autonomy for the Built World
AutonomyBedrock Operatorautonomyheavy machineryindustrial automationindustrial roboticsmachine intelligenceon-site autonomy
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