- Workplace
- Remote
- Type
- Full-time
- Department
- Marketing
- Closing date
- Today
- Source
- Vincere
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.
