Research Engineer

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. 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.

Benefits:

• 401(k)
• Employee discounts
• Health insurance
• Paid time off
• 401(k) matching
• Competitive salary
• Dental insurance
• Flexible schedule

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