AI Autonomy Engineer

ABOUT VINDYNAMICS:  

At VinDynamics, we are building a global robotics and AI infrastructure platform — combining humanoid robotics, embodied AI, and large-scale data ecosystems to power the next generation of intelligent machines. 

Backed by Vingroup, Vietnam’s leading technology conglomerate, VinDynamics is on a mission to accelerate the adoption of robotics worldwide through advanced AI, scalable platforms, and real-world deployment at global scale. 

Our vision is to make robots more accessible, intelligent, and commercially scalable — enabling safer, more productive, and more connected lives across industries and everyday environments. 

Key Responsibilities:

• Design and implement agentic AI systems that integrate reasoning, planning, and execution 

• Develop LLM- and VLM-based pipelines for instruction understanding and task planning 

• Build Vision-Language-Action (VLA) systems connecting perception to control 

• Implement task planning frameworks (e.g., Behavior Trees, FSM, or LLM-based planners) 

• Integrate AI models with robotics systems (ROS 2, navigation, manipulation) 

• Optimize models for real-time inference on edge devices 

• Develop and validate solutions in simulation (Isaac Sim, Mujoco) and deploy to real robots 

• Collaborate with data teams on dataset design, annotation, and training pipelines 

Required Qualifications: 

• Bachelor’s or higher degree in Computer Science, AI, Robotics, or related fields 

• Strong programming skills in Python and experience with PyTorch 

• Hands-on experience with LLMs, multimodal models, or generative AI systems 

• Solid understanding of machine learning and deep learning fundamentals 

• Experience designing or working with AI systems involving planning or decision-making 

Preferred Qualifications: 

• Experience with agentic AI frameworks (tool use, memory, planning) 

• Familiarity with robotics systems, particularly ROS 2 

• Experience with simulation environments (Isaac, Mujoco, Gazebo) 

• Knowledge of model optimization (ONNX, TensorRT, edge deployment) 

• Background in robotics manipulation, navigation, or embodied AI 

Benefit:

• Competitive compensation package based on experience and qualifications

• Opportunity to work on cutting-edge humanoid robotics

• Exposure to real-world AI deployment at scale

• Fast-paced, high-impact, and international working environment

• Opportunity to shape the future of human-robot interaction