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Research Engineer

VINMOTION INC

Job Description

Job Description

About VinMotion

VinMotion is developing general-purpose humanoid robots powered by advanced AI and robotics technologies. We are building intelligent systems capable of operating autonomously, safely, and naturally in dynamic real-world environments.

Job Overview

  • We are seeking a Research Engineer, Robotics & Embodied AI to bridge cutting-edge AI research with reliable, real-world robotic systems.
  • You will work closely with Research Scientists and robotics engineers to implement, optimize, integrate, test, and deploy state-of-the-art algorithms on humanoid robots .
  • The ideal candidate combines strong software engineering skills with a solid understanding of modern AI, robotics, control, or perception.

Key Responsibilities
Research Engineering

  • Implement state-of-the-art algorithms and research prototypes in robot learning, reinforcement learning, imitation learning, motion control, perception, and embodied AI .
  • Reproduce and evaluate recent research from leading robotics and AI conferences.
  • Build training and evaluation pipelines for robot learning models.
  • Develop reusable software infrastructure that accelerates experimentation by research teams.
  • Translate novel research ideas into reliable and maintainable implementations.

Robotics Integration

  • Integrate AI algorithms into real-time humanoid robotic systems.
  • Work on motion control, manipulation, locomotion, perception, navigation, and multimodal interaction , depending on project requirements.
  • Integrate models with robot sensors, actuators, control stacks, and computing hardware.
  • Develop interfaces between AI models and existing robotics software.
  • Support deployment and validation on physical humanoid robot platforms.

Simulation & Sim2Real

  • Build and maintain simulation environments using tools such as MuJoCo, Isaac Sim/Isaac Gym, Gazebo, or related platforms .
  • Develop data collection, training, testing, and benchmarking pipelines.
  • Support large-scale reinforcement learning and imitation learning experiments.
  • Improve Sim2Real transfer and identify performance gaps between simulation and physical robots.
  • Develop automated evaluation tools for robot behaviors and AI models.
  • Simulation, Sim2Real and real-world testing are explicitly central to VinMotion's existing US Motion Scientist and Engineer positions.

Performance Optimization

  • Profile and optimize AI models for low-latency, real-time robotic execution .
  • Improve runtime efficiency, stability, robustness, and resource utilization.
  • Support deployment on GPU and edge-computing platforms.
  • Diagnose failures through logs, sensor data, visualization, and systematic experimentation.
  • Improve engineering quality through testing, documentation, version control, and reproducible workflows.
  • The current VinMotion US AI Motion Engineer role specifically emphasizes low-latency edge execution, iterative testing, model efficiency, robustness, and energy-efficient real-time performance.


Qualifications


Required

  • Bachelor's or Master's degree in Robotics, Computer Science, AI, Electrical Engineering, Mechanical Engineering, Mechatronics, or a related field.
  • Strong programming ability in Python and C++ .
  • Experience with PyTorch and/or TensorFlow .
  • Solid understanding of robotics, machine learning, control, or computer vision.
  • Hands-on experience implementing and debugging complex systems.
  • Ability to quickly prototype ideas and turn them into robust software.
  • Strong communication and cross-functional collaboration skills.
  • VinMotion's existing US Engineer positions require Bachelor's/Master's-level backgrounds, approximately 2+ years of relevant experience, Python and C++, deep-learning frameworks, and practical AI/robotics implementation ability.

Preferred

Experience in one or more of:

  • Reinforcement Learning / Imitation Learning
  • Robot manipulation
  • Humanoid locomotion
  • Whole-Body Control / Model Predictive Control
  • Motion planning
  • Embodied AI / VLA
  • Computer vision / visual perception
  • ROS / ROS2
  • MuJoCo / Isaac Sim / Isaac Gym
  • Multimodal AI
  • CUDA / GPU optimization
  • Real-time robotics
  • Sim2Real
  • Deployment of learning algorithms on physical robots

Benefits

  • Competitive compensation package with performance-based bonuses.
  • Opportunity to work with leading AI and robotics researchers and engineers.
  • Access to cutting-edge humanoid robotic platforms and AI infrastructure.
  • Collaboration opportunities with global universities and research institutions.
  • Fast-paced, innovation-driven environment backed by Vingroup

Vacancy posted 20 days ago
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