Job Description

VinRobotics, based in Hanoi, Vietnam, is revolutionizing corporate operations with a fleet of autonomous robots addressing labor shortages and challenging tasks. Join our in-office team to help bring our vision of deploying autonomous robots to solve real-world problems.

We seek a Robot Simulation Engineer to lead the development of high-fidelity simulation environments for VinRobotics' robots. You will own the design, implementation, and optimization of simulation solutions that support autonomy, control, and machine learning systems, enabling our robots to operate effectively in dynamic, real-world environments.

Key Responsibilities:

• Responsible for the physical simulation of VinRobotics' other robots, including defining the technical roadmap and use cases.

• Evaluate and select uitable simulation platforms (e.g., MuJoCo, Isaac Sim, Drake, PyBullet) based on robot requirements, while making necessary trade-offs.

• Support simulation use cases, including:

  • Generating synthetic datasets for machine learning tasks specialized in robotics.

  • Bridging the sim-to-real gap in highly contact-rich environments such as manipulation and locomotion.

  • Designing simulation environments, virtual assets, and APIs tailored to customer applications.

  • Supporting simulation studies to inform future robot designs.

• Apply modern software engineering practices to deliver high-quality, well-tested software.

• Develop intuitive and user-friendly interfaces to improve efficiency in robot data collecting and visualization

• Design simulation workflows that support large-scale parallel training.

Required Qualifications:

• Experience with one or more physical simulators (e.g., MuJoCo, IsaacSim, Omniverse, Drake, PyBullet) in a deployed robotics environment.

• Deep knowledge of state-of-the-art techniques in physics simulation, including contact dynamics for manipulation and locomotion and photorealistic rendering for perception and machine learning.

• Strong background in API design, creating reusable code that supports cross-team applications.

• Experience generating simulated assets, task definitions, and Gym environments.

Preferred Qualifications:

• A publication record in robot simulation development and deployment.

• Experience using simulation for robot learning applications.

• Familiarity with GPU-accelerated simulation techniques.

• Passion for building robots and advancing simulation technologies.