Senior Roboticist

Position Summary

You will contribute to the robotics research and engineering effort within a multidisciplinary team spanning robotics, AI, and computational neuroscience. Your focus will be advancing robot capabilities, coordinating execution across the robotics stack, and translating research into reliable performance on physical systems. Working closely with the lab's leadership, you will turn scientific priorities into concrete robotics programs, recruit and mentor robotics researchers and engineers, and establish rigorous technical standards. This is a hands-on leadership role on research and/or engineering.

Core Responsibilities

• Advance useful robotic capabilities, expanding the range of skills robots can perform reliably with improvements in task success, generalization, learning efficiency, adaptation, and recovery from failure.
• Help design and execute the robotics roadmap, translating scientific priorities into coordinated projects across perception, learning, simulation, control, hardware integration, and deployment.
• Connect research to physical systems, guiding work from algorithm development and simulation through real-world deployment and establishing cycles of data collection, training, evaluation, failure analysis, and improvement.
• Recruit and develop robotics talent, including candidate sourcing, technical evaluation, onboarding, and mentoring team members.
• Solve critical technical problems by contributing to experimental design, algorithms, software, and system architecture.
• Establish rigorous evaluation through reproducible benchmarks and testing practices across repeated trials, varied environments, and changing operating conditions.
• Collaborate across AI and neuroscience to implement and test learning methods and neural circuit models on robots.
• Guide robotics hardware and resource decisions based on technical needs and expected impact.
• Communicate progress, risks, and tradeoffs clearly to the lab's leadership.

Desired Qualifications

• Typically 10+ years of relevant robotics research and engineering experience, including 5+ years leading technical teams or substantial robotics programs.
• A record of original work and successful delivery on physical robotic systems, supported by research publications, deployed capabilities, or substantial engineering achievements.
• Deep expertise in one or more areas of robotics, with broad working knowledge across perception, robot learning, simulation, motion planning, control, and deployment.
• Demonstrated ability to turn research prototypes into reliable, reproducible robotic capabilities and diagnose failures across software, models, sensing, and hardware.
• Experience recruiting and mentoring strong researchers and engineers, setting technical standards, and coordinating work across specialties.
• Strong grounding in modern AI and an interest in understanding and evaluating ideas from computational neuroscience.
• A PhD in robotics, computer science, engineering, or a related field, or equivalent research and technical leadership accomplishments.

Why Join Us

This is a rare opportunity to build robust, useful robots that reliably perform real-world tasks while pursuing a deeper question: how can we give them a brain that learns, remembers, and adapts through interaction with the world. You will work alongside neuroscientists and AI researchers to translate insights from biological neural circuits and AI systems into computational architectures, then test them on physical robots.