RoboForce
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Recently posted jobs
Artificial Intelligence • Machine Learning • Robotics
Lead engineering of the full embodied systems stack for real-world robots, owning onboard inference, data collection, teleoperation, and on-robot RL systems. Set architecture and technical direction, deliver reliable real-time deployments, close the loop between data, models and actions, and mentor engineers to scale embodied AI in industrial environments.
Artificial Intelligence • Machine Learning • Robotics
The role involves building and maintaining AI infrastructure, optimizing training performance, and developing tools for robot training and data workflows.
Artificial Intelligence • Machine Learning • Robotics
Lead and own end-to-end operational execution of embodied AI programs for robot learning. Build and manage a 20–50 person team across data collection, annotation, and teleoperation; define SOPs, KPIs, fleet readiness, vendor management, and evaluation workflows; partner with researchers to translate priorities into scalable operational plans.
Artificial Intelligence • Machine Learning • Robotics
The Manufacturing Engineer will optimize manufacturing processes, develop equipment, design assembly sequences, and support production scaling while collaborating with design and operations teams.
Artificial Intelligence • Machine Learning • Robotics
Develop software for robotics, focusing on autonomy and systems integration. Responsibilities include building, validating, and maintaining robotics capabilities and tools.
Artificial Intelligence • Machine Learning • Robotics
Own full-cycle recruiting for technical and business roles across robotics and Physical AI. Partner with hiring managers to define hiring strategies, source specialized talent, design structured interviews, use data and AI tools to improve effectiveness, manage offers/closing, and build talent pipelines while representing the company professionally.
Artificial Intelligence • Machine Learning • Robotics
The role involves architecting embedded systems for robotic devices, integrating various sensors, performance analysis, and technical leadership.
Artificial Intelligence • Machine Learning • Robotics
The Lead Software Engineer will architect the test infrastructure for robotics, integrating various teams, and ensuring continuous testing through automated frameworks and CI/CD pipelines.
Artificial Intelligence • Machine Learning • Robotics
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.
Artificial Intelligence • Machine Learning • Robotics
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.
Artificial Intelligence • Machine Learning • Robotics
Lead the architecture and development of core robotics platform software, ensuring reliability and performance in Linux-based systems while mentoring other engineers.
Artificial Intelligence • Machine Learning • Robotics
Design and develop mechanical systems for AI robots, collaborate with teams, conduct simulations, and prototype testing to ensure reliability and safety.
Artificial Intelligence • Machine Learning • Robotics
Manage day-to-day finance and accounting operations, budgeting, forecasting, and reporting. Establish finance infrastructure and improve financial processes.
Artificial Intelligence • Machine Learning • Robotics
Design, integrate, and debug robotic software and mechatronic systems spanning sensors, actuators, embedded controllers, networking, and mechanical/electrical subsystems. Develop drivers and hardware abstraction, diagnose performance and reliability issues, and drive system reliability and scalability through testing and root-cause analysis. On-site role requiring daily collaboration.
Artificial Intelligence • Machine Learning • Robotics
Build RoboForce's internal AI-native OS: design, prototype, and productionize agents, automations, workflows, and templates. Identify high-leverage AI opportunities, drive cross-functional adoption, define usage and security standards, partner on infrastructure, and act as technical chief-of-staff. On-site five days weekly.


