Autonomous Humanoid Robot Engineer

VinDynamics; Reno (NV); On-site; USD 110,000 - 180,000; Full time

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 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.