Jobs at Bedrock Robotics

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.

Develop and optimize sensor pipelines for autonomous construction machines, involving sensor calibration, validation, and data analysis in real-world conditions.

Lead the architecture and development of embedded software frameworks for autonomous robotics, focusing on real-time performance, coding standards, and team collaboration.

Lead the financial strategy at Bedrock by overseeing long-range planning, capital allocation, and building the FP&A function while providing strategic support to various business units.

As a Machine Learning Engineer, you will design and train perception models for robotics, focusing on 3D perception systems. You will tackle complex physical challenges, optimize models for embedded hardware, and collaborate with cross-functional teams.

Join a cutting-edge team deploying autonomous systems on construction machinery, enhancing safety and project efficiency in infrastructure projects.

As a Technical Program Manager, you'll oversee cross-functional programs for autonomous systems, manage execution across various technical aspects, and lead system-level integration and decision-making processes.

Develop and scale learning models for behavior cloning and reinforcement learning. Build data pipelines and evaluate model performance for integration into autonomous systems.

The Hardware Engineer will design, integrate, and validate hardware for autonomous machines, working on system architecture and collaborating with engineers and vendors.

As a Staff Mechanical Engineer, you'll integrate sensors and hardware into autonomous construction machines, ensuring durability and performance through collaboration with various teams and hands-on prototype support.

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

The role involves integrating simulators into the Cloud platform, ensuring reliable simulation workflows, and collaborating with simulation engineers to optimize efficiency.