2027 Internship State Estimation, Learned Mapping & Semantic SLAM

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2027 Internship State Estimation, Learned Mapping & Semantic SLAM at Bedrock Robotics · LumiJobs

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Bedrock Robotics Internship role focused on improving state estimation, learned mapping, and semantic SLAM for autonomous excavators. Responsibilities include prototyping learned SLAM methods and fusing lidar and camera data into 3D semantic maps.

Responsibilities

Construction sites change with every bucket of dirt. Our State Estimation team builds the maps and localization systems that help autonomous excavators understand where they are and how the terrain is changing.
As an intern on this team, you'll explore how modern learning-based methods can improve our geometry-first mapping stack. That could mean localizing reliably in terrain that looks the same in every direction, building maps that hold up through dust and occlusion, or labeling the map semantically so the machine can tell material to dig from haul roads, spoil piles, and berms. You'll test your ideas on real fleet data, measure them against strong classical baselines, and deliver a prototype the team can build on.
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

Qualification

Pursuing a BSSolid understanding of 3D geometryExposure to autonomous vehicleFamiliarity with Rust or C++

Required

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

Preferred

Research or project experience in learned SLAM, semantic mapping, or 3D scene understanding
Experience with neural scene representations, such as NeRFs, 3D Gaussian splatting, neural occupancy, or signed distance fields
Experience applying vision foundation models, such as DINOv2 or SAM, to 3D or robotics problems
Experience with lidar processing or multi-sensor fusion
Exposure to autonomous vehicle, off-road, or field robotics data
Familiarity with Rust or C++, and ROS or similar robotics middleware
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.