Own the strategy and product for Bedrock’s agent platform and robotics auto-research, building reliable, evaluated systems that accelerate autonomy capabilities and improve how teams work.
Bedrock-Robotics jobs
Advanced autonomy for the built world.
43 open roles at Bedrock-Robotics
Own the design of data-heavy products for autonomous construction, turning complex machine and job-site information into clear dashboards, reports, alerts, and tools for crews and operations teams.
Design, integrate, manufacture, and validate autonomous hardware systems for heavy construction machinery, spanning onboard computers, sensors, machine interfaces, testing equipment, and sensor-data automation.
Own cross-functional execution of safety and systems programs for autonomous heavy equipment, turning safety strategy into traceable requirements, validated deployments, and clear plans for managing risks and dependencies.
Own the 3D content pipeline and simulation systems for autonomous construction, improving realism, performance, and ML-based evaluation to help close the sim-to-real gap.
Architect, source, integrate, and validate hardware systems that enable autonomous machines, collaborating across engineering teams and vendors to deliver reliable platforms for demanding outdoor environments.
Lead critical technical programs for data products and autonomous construction systems, aligning engineering, commercial, and operations teams while managing risk, dependencies, and scalable delivery practices.
Build and lead training and certification programs for internal teams and partner crews, qualifying operators to use autonomous heavy equipment safely while scaling Bedrock University across job sites.
Design and scale automated manufacturing test systems that catch product issues early, support new-product and production-line bring-up, and improve diagnostics, yield, and reliability.
Own and scale cloud infrastructure for critical data pipelines, building reliable distributed systems, end-to-end observability, and production practices that support machine learning and robotics teams.
Own hydraulic and electro-hydraulic actuation for autonomous construction machines, from OEM system characterization and retrofit design through safety analysis, testing, and field deployment.
Design and integrate electrical architectures for autonomous construction machines, spanning power distribution, high-speed communications, harnesses, and system validation from prototype builds through field testing.
Build and operate the fleet platform that provisions, monitors, and supports autonomous machines, from foundational data models and APIs to field-facing applications and services for moving sensor data.
Integrate sensors, compute hardware, actuators, and supporting subsystems onto autonomous construction machines, developing durable mechanical designs for demanding environments and scalable manufacturing.
Build and lead Bedrock’s always-on Operations Center, overseeing remote assistance, customer and partner support, and fleet command to keep autonomous machines safe, productive, and supported.
Own fleet data operations, from collection strategy and field execution to pipeline reliability, data yield, and cost efficiency, while building the teams and partner systems that support scale.
Own integrated operations planning across machines, people, and materials, and establish the S&OP process that helps leaders anticipate constraints, align teams, and make informed decisions.
Design and lead customer onboarding, training, and community programs that help construction crews adopt autonomous equipment, build jobsite readiness, and share feedback that improves products and partner experiences.
Set editorial direction and lead hands-on storytelling across content, video, and campaigns, translating customer proof and complex technical progress into distinctive narratives that build brand trust and category leadership.
Build and lead operational safety and EHS programs for autonomous heavy equipment, overseeing site readiness, regulatory compliance, incident investigations, training, and safety performance as deployments scale.
Develop state-estimation and localization systems for autonomous construction machines, fusing sensor data to deliver reliable real-time estimates and safe operation in rugged, changing environments.
Architect and build embedded safety-controller software for autonomous heavy machinery, spanning drivers, RTOS, middleware, applications, and system integration in harsh, real-world environments.
Architect and build the onboard software platform for autonomous machines, from operating systems and drivers to runtime frameworks, ensuring reliable, secure, high-performance operation across a growing fleet.
Define and maintain system architecture and safety requirements for autonomous construction equipment, translating safety analyses into requirements and mechanisms across hardware, software, and mechanical subsystems.
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