Bedrock Robotics

JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD 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. ABOUT THE ROLE & TEAM 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. WHAT YOU'LL DO - 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 WHAT WE'RE LOOKING FOR 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. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.

JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD 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. THE MISSION: We’re looking for exceptional Software Engineers to build and scale our robotics simulation environment. Simulation is a critical foundation for autonomy at Bedrock - it allows us to validate end-to-end systems, evaluate complex and unsafe scenarios, and run testing at massive scale. Our autonomy stack is deeply machine-learning–driven, and closing the sim-to-real gap is a core focus of this role. The simulator must accurately represent real-world physics - including terrain deformation for digging and earthmoving - while remaining efficient enough to support thousands of simulation runs. High-quality simulation directly accelerates robotics development, making this work central to our success. WHAT YOU’LL DO: - Build and scale high-fidelity simulation environments for autonomous construction machines - Develop simulation systems that support ML-based autonomy, evaluation, and safety validation - Improve realism and performance to better reflect real-world behavior - Help guide our strategy in scene generation and neural rendering techniques - Write production-quality, hands-on code and build real simulation content—not just prototypes WHO YOU ARE: Simulation spans many disciplines, and we don’t expect one person to do everything. Strong candidates typically bring: - A passion for large-scale, realistic simulation systems - Experience with advanced 3D simulation software - Experience evaluating systems and improving realism to support autonomy stacks - A hands-on mindset and enthusiasm for building core simulation algorithms and content WHAT WE’RE LOOKING FOR: - Engineering, math, or physics degree, or computer science background with demonstrated interest and strength in math and physics - 4+ years of professional experience in software engineering, with proven track record of building modular, maintainable, production-quality software systems in C++ - 2+ years of experience with one or more 3D engines or simulation frameworks, such as: Unreal Engine, Unity, Godot, Blender, Gazebo, Isaac Sim, Omniverse PREFERRED QUALIFICATIONS: - Experience with Rust or interest in learning it - Robotics simulation background - Experience with neural rendering techniques (Gaussian splats, NeRFs) 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. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.