Simulation Engineer (Mujuco)

Build and maintain high-fidelity digital twin environments for Asimov across MuJoCo, Isaac Sim, and Unreal Engine, calibrated to real hardware behavior.

Design and own the systems -- not just the environments -- that let locomotion, autonomy, and perception teams generate, validate, and iterate on simulation scenarios at scale.

Build pipelines for asset import, USD and MJCF workflows, sensor modeling, and real-to-sim calibration to keep digital twins synchronized with evolving hardware.

Develop photorealistic rendering pipelines in Unreal Engine for synthetic data generation and perception model training.

Work with hardware and mechatronics teams to model actuator dynamics, contact physics, and structural behavior, ensuring simulation parameters reflect physical ground truth.

Integrate digital twin environments with the Company's locomotion training pipeline (Cyclotron) and autonomy stack, enabling teams to run experiments and close the sim-to-real gap.

Contribute to the open-source Asimov simulation stack, including tooling, documentation, and reproducible environment workflows.

Hands-on experience building or maintaining simulation environments in MuJoCo, Isaac Sim, or a comparable physics engine -- on real robot development programs, not just coursework.

Proficiency in Python and C++.

Solid understanding of rigid body dynamics, contact simulation, and how simulator parameters translate to physical hardware behavior.

Experience building the systems that enable simulation at scale: procedural generators, validation pipelines, CI hooks, or environment tooling.

Familiarity with ROS2 and common robotics data formats.

Unreal Engine experience for robotics simulation or synthetic data pipelines.

Prior work on sim-to-real transfer for legged locomotion or dexterous manipulation.

Experience with USD, URDF, or MJCF asset workflows.

Exposure to domain randomization, physics parameter tuning, or reality-gap analysis.

Open-source contributions to robotics or simulation projects.

Collaborate with a world-class research team on meaningful, high-impact projects

Own and shape the core training code infrastructure used daily by the team

Work on real models, real data, and real scale - not toy problems

Help bridge the gap between research velocity and engineering quality

Flexible work environment with a culture that values depth, clarity, and curiosity

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666