Develop algorithms for robotic intelligence, including vision-language models and multi-modal data integration for human-robot communication.

The Manufacturing Engineer will optimize manufacturing processes, develop equipment, design assembly sequences, and support production scaling while collaborating with design and operations teams.

The Marketing & Communications Lead will shape RoboForce's narrative, establish brand authority, design marketing strategies, lead campaigns, and manage external communications effectively.

The role involves architecting embedded systems for robotic devices, integrating various sensors, performance analysis, and technical leadership.

Develop computer vision models and algorithms for perception in robotics. Implement pipelines for AI model training and deployment on robotic platforms.

The Senior ML Research Engineer will develop manipulation algorithms, motion planning models, and enhance robot learning stacks for high-DOF robotic tasks.

The Senior Robotics Engineer will develop algorithms for robotic manipulation, focusing on motion planning, interaction control, and teleoperation for safe and efficient robotics in industrial environments.

Architect and implement a robust DevOps infrastructure for robotics, focusing on containerization, CI/CD, release engineering, and fleet observability.

The Senior Software Engineer will design and build backend systems for fleet management and real-time communication for AI robotics, focusing on performance analysis and software updates.

The Robotics Applications Engineer bridges R&D and deployment by integrating features, conducting system analysis, managing fleet support, and enhancing development tools.

Manage the release cycles of hardware and software, ensuring deployment compatibility, documentation accuracy, and operational support through performance tracking and standardized processes.

The Senior Robotics Engineer will design state estimation systems for navigation, develop traversability analysis pipelines, and kinematically constrained planners for robotics operating in challenging terrains.

Lead the architecture and development of core robotics platform software, ensuring reliability and performance in Linux-based systems while mentoring other engineers.

Design and develop mechanical systems for AI robots, collaborate with teams, conduct simulations, and prototype testing to ensure reliability and safety.

The role involves building and maintaining AI infrastructure, optimizing training performance, and developing tools for robot training and data workflows.