Research Engineer

VINMOTION INC; Cypress (CA); On-site; USD 110,000 - 180,000; Full time

Benefits offered by this job

401(k)

Employee discounts

Health insurance

Paid time off

401(k) matching

Competitive salary

Dental insurance

Flexible schedule

Job summary

VinMotion is seeking a Research Engineer, Robotics & Embodied AI to bridge cutting-edge AI research with reliable real-world robotic systems. You will work 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.

Qualifications

• Bachelor's or Master's degree in Robotics, CS, AI, Electrical 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.

Responsibilities

• 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.
• Integrate AI algorithms into real-time humanoid robotic systems.
• Work on motion control, manipulation, locomotion, perception, navigation, and multimodal interaction.
• 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.
• Build and maintain simulation environments and data pipelines for large-scale RL/IL experiments.

Skills

Python

C++

PyTorch

TensorFlow

Robotics basics

Real-time systems

Prototyping

Collaboration

Education

Bachelor's or Master's in Robotics/CS/AI/EE/Mechatronics

Tools

ROS/ROS2

MuJoCo

Isaac Gym

Gazebo

Job description

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