Job Description

Career Opportunity for a Robotics Simulation Engineer in Japan!

■ Robotics Simulation 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 

● Simulation infrastructure: Design and implement simulation environments, scenarios, evaluation tools, and log replay functions for humanoids, mobile robots, and service robots.

● Automated testing and CI: Establish simulation-based software testing, automated regression testing, and CI/CD integration to detect performance degradation and safety issues caused by software changes at an early stage.

● Evaluation scenarios: Build a scenario library and benchmark suite that reproduce real-world tasks, failure cases, sensor abnormalities, contact, crowded environments, robot state transitions, and related situations.

● Synthetic data and sensor simulation: Prepare synthetic data, sensor simulation, domain randomization, and log-derived scenarios for use in perception, navigation, and VLA evaluation.

● Sim-to-real analysis: Measure differences between physical robot logs and simulation results, and improve models, sensors, control systems, environment representations, and evaluation metrics.

■ Experience and Qualifications

● Professional experience working with robotic arms and robotic hands

● Experience developing and operating robotics, factory automation (FA), or physics simulation environments

● Hands-on professional experience using simulators such as NVIDIA Isaac Sim and MuJoCo

● Experience using Python for evaluation pipelines, data processing, simulation tools, log analysis, visualization, and test automation

● Experience designing systems continuously used by development teams, such as test cases, evaluation metrics, log replay, benchmarks, CI pipelines, and automated reporting

● Ability to understand at least one of the following areas and translate it into simulation

● requirements: sensors, control systems, state transitions, navigation, manipulation, or physical hardware constraints

■ Additional Preferred Qualifications

● Ability to organize requirements across multiple teams such as Autonomy, VLA, Navigation, Integration, and Hardware, and implement simulation environments as a shared platform.

● Experience with cloud-based simulation infrastructure, GPU-accelerated simulation, containerization, distributed execution, and job management.

● Experience with imitation learning, reinforcement learning, ML policy training, VLA evaluation, or synthetic data pipelines.

● Experience with ROS/ROS2, bag/log replay, Nav2, MoveIt, robot descriptions, sensor plugins, or simulation-to-real integration.

● Experience with Gaussian splatting, NeRF, world models, learned sensor models, diffusion- based methods, or neural rendering.

■ 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.