VP of Robotics Research (Remote)

$100–$120/hr | Remote | Full-time (1 Opening)

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About the Role:

SourceBridge Co. is seeking a VP of Robotics Research to lead robotics research focused on the data foundations behind robot learning.

 

In this leadership role, you will define how robotics data is collected, represented, evaluated, and scaled while helping develop a Robotics Data Engine that enables increasingly capable robotic systems.

 

You will work closely with AI researchers and engineers at the intersection of robotics, perception, learning, and large-scale data. You will also build and mentor a high-performing Robotics Research team while setting technical direction and remaining actively involved in research and experimentation.

 

Responsibilities:

• Define and execute 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 team of Robotics Researchers.
• Foster a culture of scientific rigor, curiosity, collaboration, and rapid experimentation.
• Develop new 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, evaluation methodologies, and 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.
• Establish scalable benchmarks and evaluation frameworks for measuring and improving robot-learning performance.
• Monitor emerging robotics literature, datasets, and techniques from leading academic and industry research groups.
• Drive technical excellence through documentation, knowledge sharing, and cross-functional communication.

 

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 one or more areas such as robot perception, manipulation, control, imitation learning, reinforcement learning, or robotics foundation models.
• Experience designing and evaluating large-scale robotics datasets and data-collection strategies.
• Ability to bridge research and engineering and translate advanced research concepts into scalable systems.
• Excellent written and verbal communication skills.
• Experience collaborating across multidisciplinary teams.
• Strong interest in advancing embodied intelligence through research and data-driven approaches.

 

Preferred Qualifications:

• Master's or Ph.D. 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.

 

Benefits:

• Remote-first work environment.
• Full-time leadership opportunity.
• Hourly compensation listed at $100–$120/hr.
• Compensation notice includes a national base-salary range of $250,000–$350,000.
• Equity compensation eligibility.
• Potential performance-based bonuses, subject to company policies.
• Health insurance premium reimbursement of up to 100%.
• Paid time off.
• 401(k) plan with company match.
• Additional benefits designed to support a remote-first workforce.

 

Compensation and benefits are subject to applicable company policies and eligibility requirements.

 

Hiring Process:

1. Application: Submit your resume and professional information through SourceBridge Co.
2. Application Review: Your robotics research, leadership, and technical experience will be reviewed.
3. AI-Assisted Screening & Assessment: The hiring process may use AI tools to assist with candidate screening and assessment. These tools are designed to complement, not replace, human decision-making.
4. Technical/Research Evaluation: Qualified candidates may participate in additional evaluations related to robotics research and leadership.
5. Interviews: Selected candidates may meet with relevant research and leadership teams.
6. Final Selection: Candidates who complete the process will receive further details regarding the opportunity.
7. Onboarding: The selected candidate will receive onboarding and role-specific information.

 

Why Join SourceBridge Co.?

Join an opportunity at the intersection of robotics, embodied AI, robot learning, and large-scale data.

 

As VP of Robotics Research, you will help shape the research strategy and data infrastructure behind increasingly capable robotic systems while leading a team of robotics researchers.

 

This role offers the opportunity to combine technical leadership, research, experimentation, and team development in a remote environment.

 

Application Process:

Ready to lead robotics research and contribute to the future of embodied AI?

 

Apply now for the VP of Robotics Research position.