Jobs at Bedrock Robotics

Own the strategy, roadmap, and end-to-end product development for Bedrock’s agent platform and robotics auto-research systems. Define agent evaluations, reliability standards, oversight, metrics, and production workflows. Build prototypes, improve internal systems for agent use, guide model selection, and drive adoption across engineering, operations, and commercial teams. The role requires hands-on experience shipping dependable LLM agents or AI systems, evaluating open-ended model behavior, and collaborating closely with ML, simulation, autonomy, and infrastructure engineers.

Own the Bedrock Intelligence product experience, including dashboards, historical views, reports, alerts, exports, and multi-site rollups. Partner with product and engineering from problem definition through shipped UI. Design data visualizations and shared design-system components, prototype with code and AI tools, and contribute to fleet and operations tooling as the platform expands.

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.

Lead data science across autonomy, safety, and product by analyzing machine telemetry and operational data, defining metrics, designing experiments, and partnering with ML platform and engineering to deliver insights that improve system performance and safety.

Architect and maintain the embedded Linux stack for autonomous systems, optimize performance, and lead cross-functional technical efforts.

Lead design and build core backend services and infrastructure for autonomous construction equipment, including fleet management, task orchestration, monitoring, tooling for testing and deployments, and collaboration with frontend, ML, and robotics teams.

The Robotics Application Engineer leads deployment of autonomous excavators, conducts site evaluations, troubleshoots issues, collaborates on technical strategy, and communicates value to customers.

Design, build, and maintain scalable data ingestion and ETL pipelines across a growing data lake. Define and enforce data quality standards, SLOs, and validation frameworks. Optimize pipelines for performance and cost, expand monitoring and alerting, and enable stakeholders to self-serve on data infrastructure.

The Frontend Engineer will establish UI interactions, architecture, and workflows, working with complex data and operating in a fast-paced startup environment. Responsibilities include designing frontend systems, optimizing performance, and collaborating with engineers across disciplines.

Build and scale high-fidelity simulation environments for autonomous construction machines. Develop simulation systems to support ML-based autonomy, improve realism and performance (including terrain deformation), guide scene generation and neural rendering work, and produce production-quality simulation code and content to validate autonomy and safety at scale.