Director of Robotics Research

Lead the Robotics Research team to define and build the data foundations for robot learning. This role sets the technical vision for robotics data collection, representation, evaluation, and scaling, while remaining hands-on in research and experimentation to enable increasingly capable robotic systems.

• Define and execute a research strategy focused on robotics data, embodied AI, and robot learning.
• Lead research programs on robotics datasets, multimodal representations, perception, manipulation, and data-centric learning.
• Recruit, build, mentor, and grow a team of Robotics Researchers, cultivating scientific rigor, curiosity, and rapid experimentation.
• Design novel approaches to collect robotics data via teleoperation, human demonstrations, simulation, autonomous exploration, and real-world deployments.
• Specify and implement scalable robotics data pipelines, including collection workflows, task taxonomies, annotation schemas, quality control processes, evaluation methodologies, and final data delivery formats.
• Translate research and client objectives into scalable pipeline specifications, defining data requirements, collection strategies, labeling standards, and success metrics.
• Partner with research, engineering, product, and operations teams to operationalize pipeline designs into production-ready robotics data solutions.
• Establish benchmarks and evaluation frameworks to measure and improve robot learning performance.
• Monitor and assess emerging literature, datasets, and techniques from academic and industry research to keep the team at the forefront of robotics research.
• Drive technical excellence through clear documentation, knowledge sharing, and effective cross-functional communication.

• Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering.
• Proven experience leading or mentoring high-performing technical or research teams.
• Deep understanding of robotics data pipelines, multimodal datasets, and data infrastructure for robot learning.
• Strong expertise in robot perception, manipulation, control, imitation learning, reinforcement learning, or foundation models for robotics.
• Experience designing and evaluating large-scale robotics datasets and data collection strategies.
• Ability to bridge research and engineering, turning advanced ideas into scalable systems.
• Excellent written and verbal communication skills, with experience collaborating across multidisciplinary teams.
• Passion for advancing embodied intelligence through innovative, data-driven research.
• Required skills explicitly called out: Robotics Software, Robotics Data, Robotics Research.
• Preferred qualification: Master’s or PhD in Robotics, Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.

• Employment type: Full-time position.
• Location: Remote.
• Role expectation: Lead and be deeply involved in research and experimentation while managing and growing a robotics research team.

• Base compensation range: 1, 500, 000 to 4, 000, 000 yearly.

This is a remote, full-time role. Applicants should be able to commit to full-time remote work and to lead a distributed research team. No additional work-authorization details are specified in the source.