VP of Robotics Research

Responsibilities

• Define and execute the research strategy for robotics data, embodied AI, and robot learning.
• Lead research initiatives involving robotics datasets, multimodal representations, perception, manipulation, and data-centric learning.
• Build, mentor, and grow a high-performing team of Robotics Researchers.
• Establish technical vision and foster scientific rigor, curiosity, and rapid experimentation.
• Develop novel robotics data collection approaches using teleoperation, human demonstrations, simulation, autonomous exploration, and real-world deployments.
• Design scalable robotics data pipelines covering collection workflows, task taxonomies, annotation schemas, quality control, evaluation methodologies, and final data delivery formats.
• Translate research and client objectives into scalable data pipeline specifications.
• Define data requirements, collection strategies, labeling standards, and success metrics.
• Partner with research, engineering, product, and operations teams to operationalize pipeline designs.
• Deliver production-ready robotics data solutions.
• Establish scalable benchmarks and evaluation frameworks for robot learning performance.
• Evaluate emerging robotics literature, datasets, and techniques from leading academic and industry research.
• Drive technical excellence through documentation, knowledge sharing, and cross-functional communication.

Skills

Requirements

• Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering.
• 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 by translating research ideas into scalable systems.
• Excellent written and verbal communication skills.
• Experience collaborating across multidisciplinary teams.
• Passion for advancing embodied intelligence through research and data-driven approaches.

Benefits

• Fully remote full-time position.
• Base salary range of $250,000–$350,000 per year.
• Equity compensation eligibility.
• Potential performance-based bonuses subject to role and company policies.
• Comprehensive benefits package.
• Up to 100% reimbursement for health-insurance premiums.
• Paid time off.
• 401(k) plan with company match.
• Additional benefits supporting a remote-first workforce.
• Equal opportunity employer.