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

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

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.

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.

Develop and optimize machine learning models for robotic systems, collaborating on data extraction, labeling, and performance metrics to enhance real-world applications.

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

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

Design and build core services and infrastructure for autonomous construction equipment, focusing on backend systems, data services, and system monitoring.

The Integration Engineer will design, manufacture, and test autonomous systems, integrate hardware and software, debug issues, and optimize systems for construction use.

As a Sensors Test and Verification Engineer, you'll design and execute tests for sensor systems used in autonomy platforms, ensuring performance, reliability, and safety in construction environments.

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

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.

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