Job Description

Career Opportunity for a Robotics Controls & Teleoperation Engineer in Japan!

■ Robotics Controls & Teleoperation Engineer

■ Company Overview

A research-driven organization at the intersection of AI and robotics, focused on advancing next-generation intelligent systems through cutting-edge research and real-world applications.

■ Your Role and Responsibilities 

● Teleoperation Platform: Design and implement teleoperation systems for

humanoid robots, mobile manipulators, and service robots, while

continuously improving operability, stability, latency, and recovery

performance.

● Real-Robot Control and Assistive Control: Implement control modules,

state management, safety stops, operation mode switching, sensor

synchronization, and interfaces with actuator control for real-world robots

using ROS/ROS2.

● Demonstration Data Quality: Establish operation logs, sensor logs, failure

classifications, reproduction procedures, and data collection workflows to

improve the quality of human demonstrations used for imitation learning

and VLA evaluation.

● Cross-Functional Collaboration: Work closely with the Autonomy, VLA,

Simulation, Integration, and Hardware teams to ensure that

teleoperation, control, testing, and real-world robot evaluation operate

seamlessly as an integrated system.

● Real-Robot Debugging: Analyze logs related to low-latency

communication, control cycles, sensor synchronization, abnormal states,

and recovery behavior, and take ownership of reproducing, fixing, and

verifying issues on real robots.

■ Experience and Qualifications

● Experience in real-robot control or real-robot debugging involving mobile

robots, manipulators, humanoid robots, industrial robots, service robots,

or similar robotic systems.

● Experience implementing robot control, real-time systems,

communication, log analysis, or related tools using C++ or Python.

● Experience building robotic systems using ROS or ROS2, as well as

conducting system integration and system analysis for real-world robotic

systems.

● Ability to develop with an understanding of interfaces across multiple

modules, such as sensors, control, state management, safety stops, UI,

data collection, and evaluation environments.

● Ability to persistently address low-reproducibility issues that occur on real

robots through logs, hypotheses, reproduction experiments, fixes, and

Verification.

■ Additional Preferred Qualifications

● Experience with teleoperation, such as VR, haptics, force feedback,

leader-follower systems, motion capture, puppeteering-based control, or

real-time retargeting.

● Experience with advanced control, such as impedance control,

admittance control, force/torque control, MPC, whole-body control, or

dexterous manipulation.

● Experience with learning-based control, such as imitation learning,

reinforcement learning, hybrid MPC + learning, safety-constrained

learning, or learned controller deployment.

● End-to-end experience in data collection, including human demonstration

collection, operation quality evaluation, failure classification, task

specification, evaluation set construction, and collaboration with VLA or

robot learning teams.

● Experience in real-robot operations, such as remote operation, semi-

autonomous operation, multi-robot operation, field testing, or long-

duration operation testing.

● Experience in fleet management or product-level system operations.

■ Good Reasons to Join

● Work at the cutting edge of AI and robotics, shaping real-world intelligent systems—not just theory.

■ Work Location

Tokyo, Japan
 

Details will be provided during the meeting.