VP of Robotics Research

About This Opportunity

Our talent team at Get A Job.ai is representing a confidential AI research organization in their search for a VP of Robotics Research. This is a remote, full-time leadership role based in the United States.

You'll lead a research team focused on developing data foundations for robot learning systems. Working at the intersection of robotics, perception, and large-scale data infrastructure, you'll define how robotics data is collected, represented, evaluated, and scaled to enable increasingly capable robotic systems.

Responsibilities

• Define and execute the research strategy for robotics data, embodied AI, and robot learning
• Lead research initiatives focused on robotics datasets, multimodal representations, perception, manipulation, and data-centric learning
• Build, mentor, and grow a team of Robotics Researchers while fostering a culture of scientific rigor and rapid experimentation
• Develop novel approaches for collecting robotics data through teleoperation, human demonstrations, simulation, autonomous exploration, and real-world deployments
• Design scalable robotics data pipelines including collection workflows, task taxonomies, annotation schemas, quality control processes, and evaluation methodologies
• Translate research objectives into scalable data pipeline specifications, defining data requirements, collection strategies, labeling standards, and success metrics
• Partner with research, engineering, product, and operations teams to operationalize pipeline designs and deliver production-ready robotics data solutions
• Establish scalable benchmarks and evaluation frameworks to measure and improve robot learning performance
• Stay at the forefront of robotics research by evaluating emerging literature, datasets, and techniques from leading academic labs and industry
• Drive technical excellence through clear documentation, knowledge sharing, and effective cross-functional communication

What We're Looking For

Required Qualifications:

• 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, translating cutting-edge ideas into scalable systems
• Excellent written and verbal communication skills with experience collaborating across multidisciplinary teams
• Passion for advancing embodied intelligence through innovative research and data-driven approaches

Preferred Qualifications:

• Master's or PhD in Robotics, Computer Science, Artificial Intelligence, Electrical Engineering, or a related field
• Publications at leading conferences such as CoRL, RSS, ICRA, IROS, NeurIPS, ICML, or CVPR
• Experience building large-scale robotics datasets, data engines, or research infrastructure
• Hands-on experience with robotics frameworks and simulation environments such as ROS, ROS2, Isaac Lab, Isaac Sim, MuJoCo, Habitat, or ManiSkill
• Contributions to open-source robotics projects or significant research impacting embodied AI

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. Please do not attempt to contact the client directly—all communication should flow through our team to ensure a professional and coordinated process.

Pay

Pay details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law.