Robotics Engineer Fleet VLA

▼Job Description - Design and build scalable data collection systems operating across hundreds of humanoid and mobile robots - Develop low-latency, semi-autonomous, and bilateral teleoperation systems that maximize controllability while minimizing operator workload - Build automated pipelines for large-scale model deployment and rigorous evaluation in both simulation and real-world robotic platforms - Collaborate closely with the Vision-Language-Action (VLA) team to integrate and deploy state-of-the-art models onto physical robots - Engineer robust robotic software and hardware systems for reliable real-world operation - Diagnose, debug, and optimize performance across perception, control, and system integration layers - Translate research prototypes into scalable, production-grade engineering systems in collaboration with cross-functional teams ■Benefits - Few initiatives globally match the scale of this project in collecting large-scale robotic data and developing foundation models for embodied AI. - Significant ownership and technical autonomy to shape core systems for large-scale robotics. - Opportunity to contribute to open-source robotics software and drive engineering excellence. ■Job Requirements - M.S. or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field, with 3+ years of relevant industry experience (or equivalent hands-on experience) - Extensive hands-on experience with complex, high-DOF robotic systems, including bimanual mobile manipulators and humanoid robots - Strong experience controlling real robotic systems using ROS/ROS2 - Solid understanding of teleoperation systems, AR/VR interfaces, and leader–follower control architectures - Strong programming skills in C++ and Python - Demonstrated ability to work effectively both independently and within multidisciplinary engineering teams - Experience developing, validating, and deploying reliable robotic systems in production or field environments ■Preferred Qualifications - Publications in top-tier robotics conferences or journals (e.g., TRO, IJRR, RSS, CoRL, ICRA) - Experience taking complex robotic systems from prototype to production - Practical experience with tactile sensing and contact-rich manipulation - Experience contributing to large-scale robot data collection or fleet management systems - Familiarity with robotic simulators such as Isaac Sim or MuJoCo - Experience integrating Sim2Real transfer methods or Vision–Language–Action (VLA) models - Experience with CI/CD pipelines and system validation methodologies - Experience building full-stack web applications for robotics data infrastructure ■Working Conditions - Working Hours: Flextime system - Language: English (Fluent, TOEIC 865-), Japanese (Daily Conversation Level) - Holidays: Five-Day Workweek, Summer Holidays, Winter Holidays, Congratulatory or Condolence Leave, Child-care Leave, Paid Holidays