Lead full-cycle recruiting for AI/ML, perception, robotics, and technical leadership roles, partnering with engineering leaders and founders to source, assess, and close exceptional talent as the company scales.
Bedrock-Robotics jobs
Advanced autonomy for the built world.
43 open roles at Bedrock-Robotics
Develop control laws and system models for autonomous construction robots, combining robot learning, real-time controls, and system dynamics to advance onboard autonomy for heavy equipment.
Define and deliver hardware-focused functional safety across autonomous construction systems, from safety concepts and requirements to analysis, diagnostics, and verification testing.
Leads validation and verification for autonomous heavy equipment, setting safety evidence and deployment-readiness criteria while building scalable test systems and a multidisciplinary team.
Lead a distributed field technician team and own the reliability, uptime, and customer operations of a deployed robotics fleet across the Eastern Region, partnering with Engineering and customers to resolve issues and improve performance.
Build and deploy perception features that turn camera, lidar, and other sensor data into useful customer analytics, working with customers to define on-site metrics and adapting models for machine fleets.
Lead a distributed field technician team and own the reliability, uptime, and customer operations of a deployed autonomous robot fleet across the Central Region.
Build and scale high-fidelity simulation systems for autonomous construction machines, improving realism, performance, and safety validation to help close the gap between simulated and real-world autonomy.
Own hardware reliability for autonomous construction machines, setting reliability goals and leading analysis, testing, and field-failure investigations to improve designs and keep equipment operating in demanding conditions.
Lead end-to-end quality strategy for hardware and robotic fleets, connecting design, suppliers, manufacturing, software, and field operations to improve reliability, performance, and uptime.
Deploy and support autonomous excavators on customer job sites, evaluating performance, debugging hardware and software across the robotics stack, and translating field needs into product feedback.
Own and scale the data platform connecting field-machine ingestion to cloud storage and services, enabling autonomy, ML, simulation, and operations teams to work reliably with fleet-scale data.
Design and build core backend services and infrastructure for autonomous construction equipment, supporting fleet management, machine coordination, operator tools, and reliable operations in the field.
Build and own high-performance interfaces for autonomous heavy machinery, shaping frontend architecture and operator workflows while visualizing real-time telemetry, video, 3D scenes, and geospatial data.
Lead data science work across autonomy, safety, and product by analyzing machine and operational data, defining metrics, evaluating experiments, and shaping engineering and product decisions.
Build and deploy production 3D perception systems for autonomous construction equipment, fusing lidar and camera data while addressing real-world sensing challenges and embedded inference constraints.
Lead deployments and daily operations of autonomous construction systems at partner sites, ensuring safe launches, effective customer training, reliable performance, and strong partner relationships.
Build evaluation systems and statistical metrics for real-world autonomous machinery, using simulation, hardware-in-the-loop, and field data to assess performance, guide model iteration, and inform deployment readiness.
Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics
Develop and deploy behavior-learning models for autonomous robotics, combining imitation and reinforcement learning with reliable data pipelines, evaluation metrics, and real-world system integration.
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