Jobs at Bedrock Robotics

Build and scale 3D content pipelines and simulation systems for autonomous construction robotics. The role focuses on realistic environments, procedural scene generation, rendering, terrain behavior, ML evaluation, safety validation, and performance optimization. Candidates need at least four years of real-time 3D experience, strong technical-art skills, and two or more years using Unreal Engine. Robotics simulation, Isaac Sim, Omniverse, and neural-rendering experience are preferred.

Architect, source, build, integrate, characterize, and validate hardware systems for autonomous heavy machinery. The role defines hardware architecture, leads external vendor relationships and development programs, collaborates across engineering and safety teams, and ensures reliable performance in rugged environments. Responsibilities include autonomy sensing, compute, HMI, connectivity, machine-control interfaces, power and cooling, hardware testing, data analysis, and test automation using Python, C++, C, or Rust.

Define functional and technical safety concepts for autonomous construction-machine hardware. Author hardware safety requirements, design safety mechanisms, conduct HARA, FMEA, FMEDA, and FTA analyses, and establish verification and validation plans. Partner with hardware and software teams on architectures, diagnostics, fault handling, test infrastructure, fault injection, and HIL testing throughout the safety lifecycle.

Own global sourcing, commodity strategy, supplier qualification, capacity planning, cost reduction, contracts, risk mitigation, and manufacturing readiness for robotics components. Partner with engineering, manufacturing, quality, and fleet operations from prototype through production. Manage supplier performance, tooling, inventory, forecasts, logistics, and strategic supply relationships while ensuring component availability, quality, cost, and delivery during fleet expansion.

Own execution of safety and systems engineering programs for autonomous heavy equipment, from requirements through validated field deployment. Build traceable safety requirements, validation plans, risk and dependency management processes, and release readiness practices. Coordinate engineering, safety, autonomy, hardware, software, state estimation, and field operations teams. Translate field signals into engineering priorities while communicating roadmap health, delivery status, risks, and safety implications to executives and customers.

Lead critical technical programs for autonomous construction systems and data products. Coordinate Engineering, Commercial, and Operations teams, manage technical risks and dependencies, shape roadmaps, establish scalable program practices, and facilitate high-stakes decisions across cloud, software, robotics, and field operations. The role requires experience with safety-critical systems, robotics, machine learning and simulation, data storage, and physical deployments.

Build and lead Bedrock’s learning and development function, including internal technical training and the Bedrock Certified partner program. Design curricula, certification standards, field assessments, train-the-trainer programs, and learning measurement systems for autonomous heavy equipment operations. Partner with Operations, Safety, Engineering, and Product to keep training aligned with product releases, OSHA requirements, and safety procedures. Manage budgets, vendors, qualification records, recertification, and training outcomes while traveling to job sites and training locations.

Lead manufacturing test strategy, automated test development, MES integration, production bring-up, diagnostics, failure analysis, reliability testing, and data-driven continuous improvement. Build scalable hardware and software test systems across EVT, DVT, PVT, and high-volume production. Collaborate with hardware, firmware, quality, and manufacturing teams to improve test coverage, yield, throughput, and field reliability while training production personnel and supporting domestic and international deployments.

Own and scale cloud infrastructure supporting machine learning and robotics teams. Design reliable distributed systems, build observability across monitoring, logging, and tracing, implement infrastructure as code, improve security and incident response, and optimize performance and cloud costs across AWS, GCP, and Azure.

Own hydraulic and electro-hydraulic actuation systems for autonomous construction equipment. Responsibilities include characterizing OEM circuits, designing retrofit interfaces, sizing components, supporting functional safety analysis, collaborating on controls, routing hydraulic lines, validating systems, commissioning prototypes, managing suppliers, and maintaining technical documentation. The role requires hands-on testing and field troubleshooting under demanding operating conditions.

Designs and integrates electrical systems for autonomous construction machines, including power distribution, high-speed communication networks, harnesses, EMC mitigation, CAD routing, component selection, supplier coordination, prototype bring-up, and field validation. The role troubleshoots complex electrical issues and leads cross-functional integration across mechanical, software, manufacturing, and operations teams.

Design and integrate mechanical systems for autonomous construction equipment, including sensor mounts, enclosures, structural interfaces, routing, environmental protection, and thermal solutions. Create CAD models and GD&T drawings, support prototype builds, validate fit and function, manage suppliers, develop retrofit strategies, and maintain BOMs and integration documentation. Collaborate with electrical, software, manufacturing, operations, supply chain, and field teams throughout product development.

Leads integrated operations planning, scenario analysis, workforce and materials planning, production coordination, and implementation of the monthly S&OP process. Partners across Commercial, Finance, Supply Chain, Engineering, and Operations to align demand, supply, capacity, machine deployments, sites, and product transitions. Develops operational metrics, reporting cadences, forecasts, and executive recommendations while identifying constraints and driving mitigation decisions during rapid growth.

Lead customer enablement programs for autonomous construction technology. Design onboarding, training, communications, Bedrock University, certification pathways, advisory boards, webinars, and field engagement programs. Create clear customer-facing materials, equip field teams, measure crew readiness and training effectiveness, and translate customer feedback into product and go-to-market improvements. The role is primarily office-based in San Francisco or Austin and requires regular travel to customer sites, jobsites, training activities, and partner gatherings.

Lead Bedrock’s editorial strategy, storytelling pipeline, and creative quality across public channels. Write, edit, interview, and develop narratives covering customer stories, technical explainers, thought leadership, campaigns, video, and social content. Establish editorial standards and workflows, manage agencies and freelance creatives, and build an internal newsroom and creative studio. Translate complex technical concepts into compelling stories while traveling periodically to customer sites, jobsites, and production shoots.

Design, manufacture, integrate, and validate autonomous hardware systems for heavy construction equipment. Responsibilities include component architecture, camera and optics design, vendor and manufacturing coordination, safety-focused verification and validation, hardware testing, and development of reusable sensor-data analysis and test-automation software. The hybrid role requires San Francisco office attendance at least three days weekly and up to 15% regional or national travel.

Train and evaluate learned manipulation policies for autonomous excavators using real fleet data and simulated rollouts. Explore diffusion and flow-matching architectures, conditioning, and hyperparameters; build evaluation pipelines for task success, smoothness, safety, and operator-likeness; investigate failure modes and sim-to-real issues; and contribute reproducible code while collaborating with behavior, controls, simulation, and autonomy teams.

Own an open product problem for autonomous construction equipment, from framing and data gathering through prototyping and recommendations. Analyze fleet performance data, build tools and workflows with AI coding agents, gather requirements at field sites, collaborate across technical and commercial teams, and present findings to leadership. The role requires hands-on quantitative work, concise communication, and comfort working around heavy equipment.

Research and implement neural rendering methods such as NeRF and 3D Gaussian splatting for autonomous construction simulation. Train models on real-world fleet data, integrate rendered outputs into simulation pipelines, develop visual fidelity and autonomy-transfer metrics, and address challenges including dynamic objects, deformable terrain, dust, and harsh lighting. Document findings and recommend where neural rendering should replace traditional simulation assets.

Develop learned SLAM, mapping, localization, and semantic 3D mapping methods for autonomous excavators. Train models on fleet lidar and camera data, evaluate performance against classical baselines and ground truth, and prototype solutions for changing terrain, dust, occlusion, and sparse sensor data. Collaborate with perception and planning teams to deliver documented experiments and recommendations.