AI Robot Engineer

VinDynamics

Reno (NV)

On-site

USD 110,000 - 180,000

Full time

5 days ago
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Job summary

VinDynamics is seeking an AI Robot Engineer to design, integrate, and deploy autonomous behaviors for humanoid robots. You will work across perception, planning, and execution to enable reliable operation in dynamic real-world environments.

You will collaborate with AI, controls, and perception teams to bridge research and production systems, validating capabilities in simulation and on hardware.

Qualifications

  • MS with 2+ years of relevant robotics experience or PhD.
  • Strong C++ and Python programming skills.
  • Experience with ROS2 or similar robotics middleware.
  • Experience with behavior planning, motion planning, or robot autonomy.
  • Strong understanding of robotics software architecture and system integration.
  • Comfortable debugging complex robotic systems across software and hardware.

Responsibilities

  • Design and develop autonomy software for humanoid robots.
  • Build behavior planning and task execution frameworks for long-horizon robotic tasks.
  • Develop robot decision-making systems coordinating perception, locomotion, and manipulation.
  • Integrate navigation, semantic mapping, and motion planning into a unified autonomy stack.
  • Collaborate with AI, controls, and perception engineers to deploy on real robots.
  • Build tools to improve reliability, debugging, and performance.
  • Design and validate autonomous capabilities in simulation and on hardware.

Skills

C++
Python
ROS2
Behavior planning
Motion planning
Robot autonomy
Systems integration
Debugging

Education

MS or PhD in Robotics / CS / EE / Mech

Tools

BehaviorTree.CPP
Isaac Lab
Isaac Sim
MuJoCo
Gazebo

Job description

VinDynamics is building next-generation humanoid robots that bring transformative automation to real-world environments. Backed by VinGroup, we are pioneering state-of-the-art autonomy stacks that enable robots to perceive, reason, and act reliably in complex unstructured settings. Join us to shape the future of embodied AI and physical autonomy.

II. ROLE OVERVIEW
  • Team: AI & Software Department, R&D Division
  • Reports to: Head of AI & Software Department

Job summary: As an AI Robot Engineer at VinDynamics, you will develop, integrate, and deploy autonomous behaviors and decision-making software for humanoid robots. You will work across perception, state estimation, planning, execution, and simulation to enable robust autonomous operation in dynamic human environments. Your work will bridge research and production-grade systems and directly influence the real-world deployment of our humanoid platforms.

III. WHAT YOU’LL DO
  • Design and develop autonomy software for humanoid robots.
  • Build behavior planning and task execution frameworks for long-horizon robotic tasks.
  • Develop robot decision-making systems that coordinate perception, locomotion, and manipulation.
  • Integrate navigation, semantic mapping, and motion planning into a unified autonomy stack.
  • Work closely with AI, controls, and perception engineers to deploy autonomous behaviors on real robots.
  • Build tools to improve robot reliability, debugging, and performance.
  • Design and validate autonomous capabilities in simulation and on hardware.
IV. QUALIFICATIONS
Required Qualifications
  • M.S. with 2+ years of relevant experience, or a Ph.D. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
  • Strong C++ and Python programming skills.
  • Experience with ROS2 or similar robotics middleware.
  • Experience with behavior planning, motion planning, or robot autonomy.
  • Strong understanding of robotics software architecture and system integration.
  • Comfortable debugging complex robotic systems across software and hardware.
Bonus Qualifications
  • Experience with humanoid or legged robots.
  • Experience with BehaviorTree.CPP or similar frameworks.
  • Experience with Isaac Lab, Isaac Sim, MuJoCo, or Gazebo.
  • Experience with reinforcement learning or foundation models for robotics.
  • Experience deploying robots in real-world environments
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