Software Engineer (Digital Twin)

Create and manage high-fidelity digital twin environments for various platforms, ensuring they accurately represent real hardware behavior.

Take responsibility for developing systems that enable teams to generate, validate, and refine simulation scenarios on a large scale.

Establish pipelines for asset import, USD and MJCF workflows, sensor modeling, and real-to-sim calibration to maintain synchronization between digital twins and evolving hardware.

Design photorealistic rendering pipelines in Unreal Engine to generate synthetic data and train perception models.

Collaborate with hardware and mechatronics teams to model actuator dynamics, contact physics, and structural behavior within the digital twin environments.

Integrate digital twin environments with locomotion training pipeline (Cyclotron) and autonomy stack, closing the gap between simulations and real-world applications.

Contribute to the open-source Asimov simulation stack by providing tools, documentation, and reproducible environment workflows.

Practical experience in building or maintaining simulation environments using MuJoCo, Isaac Sim, or a similar physics engine related to real robot development.

Proficiency in Python and C++ programming languages.

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

Experience in developing systems that facilitate simulation at scale, including procedural generators, validation pipelines, CI hooks, or environment tooling.

Familiarity with ROS2 and standard robotics data formats.

Exposure to Unreal Engine for robotics simulation or synthetic data pipelines is preferred.

Previous involvement in sim-to-real transfer for legged locomotion or dexterous manipulation.

Knowledge of USD, URDF, or MJCF asset workflows is desirable.

Familiarity with domain randomization, physics parameter tuning, or reality-gap analysis is an advantage.

Contribution to open-source projects related to robotics or simulation is a bonus.

Join a renowned research team to work on impactful projects

Take ownership of the core training code infrastructure used by the team

Engage with real models, data, and scale, rather than small-scale problems

Contribute to bridging the gap between research velocity and engineering quality

Enjoy a 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