Description

About VinDynamics

At VinDynamics, we design safe, affordable, and intelligent humanoid robots to assist in everyday life — robots for everyone. Backed by Vingroup, Vietnam's leading technology conglomerate, we are on a mission to make advanced robotics accessible, reliable, and beneficial for billions of people worldwide. By combining cutting-edge AI, world-class engineering, and human-centered design, we aim to seamlessly integrate robots into daily life — enhancing safety, productivity, and happiness at home and beyond.

Overview

• Position: Head of Simulation (Humanoid Robot)
• Company: VinDynamics
• Division - Department: AI Robot Division
• Report to: Director of AI Robot
• Location: Hanoi, Vietnam

Lead the development of a scalable, high-fidelity simulation platform that powers training, validation, and deployment of humanoid robot intelligence, enabling seamless sim-to-real transfer.

Responsibilities

• Define and own the simulation platform architecture:
  • Physics simulation (rigid and deformable body, contact dynamics)
  • Sensor simulation (RGB, depth, LiDAR, IMU)
  • Environment & scene generation (3D assets, synthetic data)
• Build and scale simulation using:
  • Isaac Sim / Isaac Lab / Mujoco (or equivalent)
• Enable:
  • Large-scale parallel simulation (GPU-based, distributed rollout)
  • Training pipelines for RL, imitation learning, VLA models
• Develop sim-to-real pipelines:
  • Domain randomization, system identification, calibration
• Integrate simulation with:
  • ROS 2, autonomy stack, data platform
  • Establish benchmarking & evaluation frameworks (task success, robustness, generalization)
  • Lead engineering team and drive platform reliability and performance

Requirements

Required 

• 5+ years in robotics, simulation, or AI infrastructure
• Strong experience with:
  • Physics engines (PhysX, MuJoCo, Bullet)
  • Robotics simulation platforms (Isaac, Gazebo, Mujoco)
  • Python/C++ and GPU computing
  • Experience building large-scale simulation or ML infrastructure
  • Proven leadership in delivering complex technical systems

Preferred

• Experience with:
  • Reinforcement Learning at scale
  • Synthetic data generation and dataset pipelines
  • Sim-to-real transfer for robotics
  • Cloud / cluster computing (distributed simulation)
  • Background in humanoid robotics or loco-manipulation