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The Deployment Strategist will manage defense relationships, drive revenue through closing contracts, and navigate stakeholder engagement to translate customer needs into product priorities.

As a Robotics Research Engineer, you will design, implement, and deploy intelligent robotic systems, focusing on system architecture and control methods for manufacturing applications.

Design and develop AI software for autonomous robotics, focusing on computer vision and VLA models, while collaborating across functions.

The Manufacturing Process Engineer will design and optimize production processes for robotic systems, establish workflows, and collaborate cross-functionally to enhance manufacturing efficiency and scalability.

The Strategic Projects Lead will manage data collection, QA processes, and rig operations, ensuring efficient robotic assembly through metrics tracking and collaboration with teams.

The Technical Program Manager will oversee data collection for robotics, managing calibration and QA processes while ensuring accurate data integration and compliance. Responsibilities include program management, metrics tracking, and collaboration with cross-functional teams.

The Operations Manager will oversee a contractor workforce, managing operations, quality assurance, training, and continuous improvement to deliver accurate data collection in a robotics environment.

Lead design and ownership of electronics and controls for AI-driven robotic cells: define device interfaces, safety schema, power/I/O/motion/networking/HMI, industrial panel design, device integration, data contracts with Factory OS, ensure safety compliance (ISO/IEC/NFPA/UL/CE), and build and lead a small electrical/controls team.

The Senior Manufacturing Engineer will manage equipment introduction projects, from RFQ through commissioning, ensuring performance targets are met while collaborating across teams.

Design and implement real-time control systems for multi-DOF robotic manipulators, focusing on torque control, trajectory optimization, inverse dynamics, and state estimation. Build optimization-based controllers, fuse multi-sensor data, validate in simulation and on hardware, and own controller performance through bring-up, tuning, and regression testing while integrating with autonomy, hardware, and testing teams.