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The Robotics System Test Engineer will lead test strategies for robotic systems, perform testing in outdoor environments, and ensure safety and reliability for autonomous operations.

The Hardware Operations Program Manager oversees procurement, program management, and hardware integration, ensuring systems are efficiently assembled, tested, and ready for deployment on construction sites.

Seeking a Perception ML Engineer to develop and deploy advanced perception models for robotics, focusing on manipulation and navigation in dynamic environments.

The Planning & Controls Engineer will develop and deploy planning and control systems for robotics in outdoor environments, working on trajectory generation and real-time control techniques.

The ML & Cloud Infrastructure Engineer will develop scalable AI and data pipelines, deploy monitoring and CI/CD pipelines, and optimize performance for cloud-based ML applications.

The Mechanical Engineer will integrate robotic systems onto heavy vehicles, focusing on design, environmental resilience, and field deployment for various construction tasks.

Lead mechanical integration for robotic platforms onto heavy mobile bases. Design rugged systems for outdoor tasks, manage integration of payloads, and ensure reliability in diverse environments.

Develop and deploy state-of-the-art physical AI for outdoor robotics, focusing on perception, planning, control, simulation-driven training, multi-sensor integration, data pipelines, and GPU-optimized training and inference.

Lead development of scalable simulation and training infrastructure for robot learning. Implement high-fidelity physics, handle multimodal sensor data, build tools for large-scale RL/imitation learning, and optimize software for GPU parallelization. Help shape AI capabilities and grow into leadership roles.