Careers at 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 As Bedrock scales deployments nationwide, every machine has to be reliably built, provisioned, calibrated, updated, monitored, and kept healthy. Fleet Engineering builds the platforms and internal tools that teams across the company use to manage our growing fleet of autonomous machines. You'll spend the summer designing, building, and shipping a critical internal tool end to end, one we'll continue using after you leave. Along the way, you'll work with teams across engineering and operations, and see firsthand what it takes to run robots in production. What You'll Do Understand, design, and build an internal tool that addresses a key challenge in the robot lifecycle, and define what "done" means Interview the people who'll actually use the tool and translate their pain into requirements Build the tool end to end: data, backend, and interfaces, working with cross-functional teams to unblock yourself Instrument usage so you can tell whether it's helping Iterate fast on real feedback from real operators, traveling to the field if needed Document and hand off so what you build survives past the summer What We're Looking For Required Currently pursuing a BS or MS in computer science, software engineering, or a related field, or equivalent hands-on building experience Ability to design and build full-stack software applications Proficiency in at least one high-level programming language (Python, Rust, C++, TypeScript, etc.) Product sense: you'd rather ship the useful version than the elegant one Comfort working with ambiguity and defining your own scope Clear communication with teams outside engineering. Your users may operate excavators, repair hardware in the field, or work directly with customers. Preferred Experience with data visualization or operational dashboards Experience shipping software to production Exposure to fleet telemetry, IoT, robotics, or operations tooling Familiarity with cloud infrastructure and CI/CD 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. 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 actively reshaping. Accurate state estimation is essential to both safety and performance. Your work will help our machines operate precisely, recognize when sensor data or estimates are unreliable, and respond safely when inputs are delayed, degraded, or unavailable. Depending on your background, you may focus on real-time sensor fusion, estimator reliability, lidar-based estimation, offline optimization, or calibration. This is a hands-on role spanning algorithm design, production software, data analysis, and testing on real machines. What you’ll do: 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 Improve reliability through sensor monitoring, consistency checks, fault detection, trustworthy confidence estimates, redundancy, and graceful degradation Handle measurements that arrive late, out of order, intermittently, or not at all Build ground-truth systems, offline reference estimators, metrics, and regression tests that measure performance and expose failures Work on related problems such as sensor calibration, clock synchronization, lidar-based arm estimation, and joint offline estimation Diagnose issues using field data, recorded-data replay, and simulation, then test improvements on physical machines Collaborate with controls, perception, safety, hardware, and systems teams to improve the performance of the complete autonomy system What we'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 A degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related field, or equivalent practical experience Ways to stand out: Experience deploying state-estimation systems on autonomous vehicles, robots, or embedded platforms Experience with estimator monitoring, uncertainty, fault detection, redundancy, or safety-relevant systems Experience with nonlinear optimization, factor graphs, or smoothing Deep knowledge of GNSS, inertial sensing, lidar, sensor timing, calibration, and real-world failure modes Experience with lidar localization, ICP, continuous-time estimation, or articulated-machine estimation Experience building offline reference estimators or independent ground-truth systems Production experience with Rust Familiarity with construction, mining, agricultural, or other heavy industrial machines Other special aspects of the role: Based in San Francisco with the ability to be onsite at our SF office 3 day a week 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 Role The Onboard Infrastructure team builds the software foundation Bedrock's autonomous machines run on, the layer giving Bedrock the ability to scale across multiple machines, variations, models and environments. Our software keeps every machine working reliably hours from the nearest engineer, in harsh environments and on lossy connectivity, doing real work on billion-dollar projects. We're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our embedded safety controller, from drivers and RTOS bring-up through applications and system integration. This mixed-criticality controller serves as the main interface between the Bedrock autonomy system and the heavy machinery it controls. In this role, you will: Build safety-critical software that controls the base machine and monitors the health of the Bedrock system, with strict isolation and deterministic real-time execution. Develop across the full embedded software stack, spanning drivers, RTOS, communication, middleware, and applications. Interface with and control a broad range of heavy machinery across machine types and manufacturers, and design the abstractions that keep our system flexible and portable. Extend the platform to the embedded devices that keep machines running in the field, like power management, sensor cleaning, and lighting, so the system can keep working through long stretches in harsh conditions. Required Qualifications Experience building and shipping embedded systems in robotics, automotive, drones, or other safety-critical embedded contexts. Strong embedded programming skills in a systems language such as C++ or Rust, plus fluency in Python for scripting and analysis. Solid foundation building software for resource constrained systems with real-time requirements. Comfortable developing, automating, and debugging across the hardware/software boundary. Track record of leading projects, driving design decisions, and working effectively across hardware, autonomy, and platform teams. Preferred Qualifications Experience with Rust in production or embedded systems Familiarity with automotive and industrial networking and protocols including CAN, Ethernet, and J1939. Experience developing software to meet functional safety standards such as ISO 26262, IEC 61508, or DO-178C. 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 Role The Onboard Infrastructure team builds the software foundation Bedrock's autonomous machines run on, the layer giving Bedrock the ability to scale across multiple machines, variations, models and environments. Our software keeps every machine working reliably hours from the nearest engineer, in harsh environments and on lossy connectivity, doing real work on billion-dollar projects. We're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our onboard platform, from the OS, drivers, and system services up through the runtime frameworks our autonomy stack is built on. You'll take these systems from first bring-up through reliable operation in the field, keeping the platform fast, secure, and dependable at fleet scale. In this role, you will: Bring up next-generation compute and sensors as we expand to new machine types Develop the core system services that keep a fleet running reliably: software updates, lifecycle management, data logging, health monitoring, and connectivity Architect and develop the onboard runtime and middleware for execution, communication, configuration, and observability that let autonomy teams move fast and ship to multiple machine types Optimize and benchmark onboard system performance across CPU, GPU, and memory for mixed-criticality, real-time workloads Expand diagnostics and observability across the onboard stack, enabling a small team to keep a growing fleet healthy Build internal tools, frameworks, and test infrastructure that accelerate development and validation across engineering Lean into AI and agents, from automating development workflows to fleet analysis, triage, troubleshooting, and more. Required Qualifications Experience building and shipping embedded systems in robotics, automotive, drones, or other high-performance embedded contexts Strong programming skills in a systems language such as C++ or Rust, plus fluency in Python for scripting and analysis Solid foundation building software on Linux-based systems, with the versatility to work up and down the stack, from services and applications to performance tuning and system internals Comfortable developing, automating, and debugging across the hardware/software boundary Track record of leading projects, driving design decisions, and working effectively across hardware, autonomy, and platform teams Preferred Qualifications Hands-on work with real-world sensing systems, including cameras, lidar, GPS/GNSS, IMUs, radar, or other fielded sensors Background in OTA, security, connectivity, telemetry, diagnostics, or other production-hardening areas for connected fleets Familiarity with the NVIDIA Jetson ecosystem, including optimizing ML inference and other GPU workloads on embedded compute (e.g., CUDA, TensorRT) Experience with Rust in production or performance-critical systems Prior work on safety-critical systems 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 Role The Onboard Infrastructure team builds the software foundation Bedrock's autonomous machines run on, the layer giving Bedrock the ability to scale across multiple machines, variations, models and environments. Our software keeps every machine working reliably hours from the nearest engineer, in harsh environments and on lossy connectivity, doing real work on billion-dollar projects. We're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our onboard platform, from the OS, drivers, and system services up through the runtime frameworks our autonomy stack is built on. You'll take these systems from first bring-up through reliable operation in the field, keeping the platform fast, secure, and dependable at fleet scale. In this role, you will: Bring up next-generation compute and sensors as we expand to new machine types Develop the core system services that keep a fleet running reliably: software updates, lifecycle management, data logging, health monitoring, and connectivity Architect and develop the onboard runtime and middleware for execution, communication, configuration, and observability that let autonomy teams move fast and ship to multiple machine types Optimize and benchmark onboard system performance across CPU, GPU, and memory for mixed-criticality, real-time workloads Expand diagnostics and observability across the onboard stack, enabling a small team to keep a growing fleet healthy Build internal tools, frameworks, and test infrastructure that accelerate development and validation across engineering Lean into AI and agents, from automating development workflows to fleet analysis, triage, troubleshooting, and more. Required Qualifications Experience building and shipping embedded systems in robotics, automotive, drones, or other high-performance embedded contexts Strong programming skills in a systems language such as C++ or Rust, plus fluency in Python for scripting and analysis Solid foundation building software on Linux-based systems, with the versatility to work up and down the stack, from services and applications to performance tuning and system internals Comfortable developing, automating, and debugging across the hardware/software boundary Track record of leading projects, driving design decisions, and working effectively across hardware, autonomy, and platform teams Preferred Qualifications Hands-on work with real-world sensing systems, including cameras, lidar, GPS/GNSS, IMUs, radar, or other fielded sensors Background in OTA, security, connectivity, telemetry, diagnostics, or other production-hardening areas for connected fleets Familiarity with the NVIDIA Jetson ecosystem, including optimizing ML inference and other GPU workloads on embedded compute (e.g., CUDA, TensorRT) Experience with Rust in production or performance-critical systems Prior work on safety-critical systems 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. About the Role & Team Getting an autonomy stack onto a 40-ton excavator is a hardware problem long before it's a software one — brackets, harnesses, enclosures, and interfaces that survive vibration, dust, and weather. As our Machine Integration intern, you'll design and build the physical interfaces between our system and the machine, plus the test stands we use to prove them out before they ever hit a jobsite. What You'll Do Integrate sensors, compute, and wiring onto machines alongside the hardware team Design brackets, enclosures, and interface hardware in CAD, then help fabricate and install them Build test stands for validating subsystems on the bench instead of in the field Run lab tests, capture data, and iterate on designs based on what breaks Document build and install procedures so the next machine goes faster than the last Close the loop with the field team on what's working and what isn't What We're Looking For Required Currently pursuing a BS or MS in mechanical engineering, electrical engineering, robotics, or a related field — or bringing equivalent hands-on experience CAD proficiency (SolidWorks, Onshape, or similar) Genuine hands-on shop skills — you've built physical things, not just modeled them Basic electrical competence: harnessing, connectors, multimeter, reading a schematic Willingness to work on and around heavy equipment in PPE Preferred Wiring harness design or manufacturing experience Exposure to off-highway, automotive, or industrial equipment Machining, welding, or 3D printing experience 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. About the Role & Team Bedrock is bringing autonomy to the construction industry! We're a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. We're growing our sizable fleet of retrofitted autonomous construction machines and we're looking for a motivated hardware engineering intern to support system testing and integration. You will work alongside senior engineers who design these systems, and you will help deliver robust and capable autonomous HW systems to the field. What You'll Do Support the design, characterization, integration, and validation of Bedrock autonomy hardware and related systems, under the guidance of senior engineers. Assist with component evaluations for our autonomous HW platforms Write sensor data analysis and test automation scripts (Python and/or C++/C/Rust) Run tests, collect data, and document results clearly for the engineering team What We're Looking For Required Currently pursuing a Bachelor's degree in Electrical Engineering, Mechatronics, or a related field Solid foundational knowledge in HW engineering subjects such as mechanical, electrical, and embedded SW Coursework or project experience with some or all of the following: Embedded compute platforms, including single-board computers or edge compute modules Common autonomous sensing technologies such as lidar, camera, radar, GNSS, or IMUs Packaging and integration of HW systems, including basic mechanical or thermal considerations Basic signaling and communication protocols such as CAN, UART, SPI, or Ethernet Proficiency in one or more of Python, C/C++, or Rust, with the ability to write scripts for tests, data collection, or analysis Strong fundamentals in circuits, signals, and basic mechanical design Comfortable working in a lab environment with tools such as a multimeter, oscilloscope, function generator, soldering iron, or hammer when necessary :) Preferred Prior co-op terms, personal projects, or club experience (e.g. UW Robotics, Formula Electric, WATonomous) in hardware or embedded systems Expertise with camera, lidar, radar, IMU, or GNSS Embedded compute platforms, in particular the Nvidia Jetson lineup Communication protocols (CAN, UART, SPI, RS232/422/485, Ethernet, etc.) Curiosity about autonomy and prior work in this area Basic PCB design or schematic capture tools (KiCad, Eagle, Altium, Cadence, etc.) Experience with version control (git) and collaborative engineering workflows Familiarity with construction, off-road, or heavy equipment A portfolio of personal or academic hardware projects (robotics, embedded systems, etc.) 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. About the Role & Team The Onboard Infrastructure team builds the core engine of Bedrock’s autonomous heavy machinery — where safety, real-time control, and millisecond-level responsiveness are non-negotiable. As an Onboard Infrastructure Intern, you will bridge frontier AI and real-time execution by integrating Large Language Models (LLMs) and Vision-Language-Action (VLA) models into our core stack, ensuring multi-billion parameter multi-modal models run within strict, deterministic deadline budgets on edge compute. What You'll Do Integrate open-source and proprietary LLM/VLA models into our onboard Rust middleware stack alongside existing perception, planning and control pipelines. Profile and optimize model execution using TensorRT, vLLM, ExecuTorch or custom edge inference runtimes tailored for NVIDIA Jetson Thor. Streamline sensor tokenization (cameras, LiDAR) to feed real-time streams directly to models without latency spikes in vehicle control loops. Identify and eliminate bottlenecks across memory bandwidth, compute, and IPC using tools like Nsight Systems, Nsight Compute and eBPF. Validate your performance optimizations directly on heavy autonomous machinery at our test sites. What We're Looking For Required Currently pursuing a BS, MS, or PhD in Computer Science, Electrical/Computer engineering, Robotics or a related field. Proficiency in Rust or C++, with supporting experience in Pytorch or JAX. Solid foundation in GPU architectures, CUDA, or parallel computing. Understanding of modern systems concepts: multithreading, OS and GPU scheduling, memory management, asynchronous programming and IPC. Bonus Points Practical experience deploying neural networks on constrained hardware using TensorRT, ONNXRuntime or ExecuTorch. Experience with LLM/VLA optimization techniques such as KV-cache management, FP8/INT4 quantization, continuous batching or speculative decoding. Exposure to multi-modal/VLA models or robotics frameworks. 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. About the Role & Team Every new machine type we bring into the fleet raises the same question from scratch: which sensors, where do they go and what are they used for? The Systems / Sensors team answers it with analysis rather than guesswork, trading off coverage, cost, durability, and what will actually survive on a jobsite. As our Sensor Systems intern, you'll own sensor selection and placement analysis for a new machine platform, from first trade study to validation on real steel. What You'll Do Work at the intersection between sensor physics, autonomy systems architecture, mechanical integration and design. Analyze sensor coverage, occlusion, and blind spots for candidate sensor suites on new machine types Build or extend tooling that models field of view, range, and coverage geometry Run trade studies weighing performance against cost, durability, and mounting constraints Prototype mounting concepts and validate coverage assumptions on actual machines Turn your analysis into sensor requirements and specs the hardware team can build to Work across perception, hardware, and safety to make sure the suite serves everyone downstream What We're Looking For Required Currently pursuing a BS, MS, or PhD in an engineering or engineering-adjacent discipline such as mechanical, electrical, physics, mechatronics, robotics, or computer science (or bringing equivalent hands-on experience) Solid grasp of 3D geometry, coordinate frames, and transforms Python for analysis and tooling CAD fluency - enough to reason about where hardware physically goes Willingness to go to mock construction sites and test sensor configurations Preferred Experience with device physics, ray tracing, rendering or coverage simulation Familiarity with autonomous vehicle sensor suites Exposure to heavy equipment or off-road machinery 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. About the Role & Team Predicting what happens next on a construction site is one of the hardest and most valuable problems at Bedrock, whether that's soil dynamics, machine interactions, or the people moving around the site. Every scoop of dirt we move rewrites the scene we have to plan against. The Behavior ML team is building world models that let our machines reason about the near future instead of just reacting to the present. As our intern, you'll train models on real fleet data, run architecture explorations, and work closely with the Behavior and Controls teams to ship what you build onto a real excavator. What You'll Do Train and evaluate world models on real fleet data collected from autonomous machines in the field Run architecture explorations and ablations, and make a defensible case for what's actually working Build evaluation harnesses and metrics that tell us whether a model is genuinely better Partner with the behavior and controls teams to connect model outputs to planning and control Present your findings and provide a solid foundation for the team to build upon What We're Looking For Required Currently pursuing a BS, MS, or PhD in computer science, machine learning, robotics, or a related field — or bringing equivalent research or industry experience Strong Python and hands-on experience training models in PyTorch (or equivalent) Ability to read a paper and turn it into a working implementation Comfort with messy, real-world data — this is not a curated benchmark Sound experimental judgment understanding the difference between a real result and noise Preferred Experience with world models, video prediction, or sequence modeling (e.g., DreamerV3, V-JEPA 2, Genie 3, GAIA-2, NVIDIA Cosmos, etc.) Background in reinforcement learning or imitation learning Prior work with robotics or autonomous vehicle data Familiarity with large-scale training infrastructure 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.