Assistant Engineer, Embodied AI
Robotics and Artificial Intelligence Division
Ref: RAD/11124
Job Description
Who we are looking for:
- Creativity in new ideas and future focus vision.
- Collaboration with colleagues and the community at large.
- Work Smart, Play Smart!
What you'll do:
- Research, develop, and deploy next-generation Embodied AI systems that integrate perception, reasoning, planning, and action in real-world environments.
- Design and implement AI models leveraging Large Language Models (LLMs), Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, multimodal foundation models, and agentic AI frameworks for intelligent robotic applications.
- Develop perception, scene understanding, task planning, and decision-making capabilities using multimodal data, including vision, language, audio, spatial information, force sensing, and other robotic sensor inputs.
- Build intelligent robotic solutions for humanoid robots, mobile manipulators, autonomous mobile robots (AMRs), and autonomous inspection or service robots.
- Develop robot learning pipelines using imitation learning, reinforcement learning, behavior cloning, world models, and simulation-to-real transfer techniques.
- Design and implement intelligent agents capable of task reasoning, workflow orchestration, tool use, and autonomous execution in physical environments.
- Develop and optimize AI-driven manipulation, navigation, interaction, and autonomous operation capabilities.
- Build robotic data pipelines, model evaluation frameworks, benchmarking tools, and continuous improvement workflows for Embodied AI systems.
- Deploy, test, and optimize AI models on physical robots and edge computing platforms.
- Participate in technical research, proof-of-concept development, pilot projects, and commercialization initiatives.
- Collaborate with cross-functional teams, industry partners, universities, and research institutions to deliver innovative AI and robotics solutions.
- Contribute to technical publications, intellectual property development, funding proposals, and strategic technology initiatives.
You'll be a good fit if you have/are:
- Bachelor's Degree, Master's Degree, or PhD in Computer Science, Artificial Intelligence, Robotics, Electronic Engineering, Data Science, Mechanical Engineering, or related disciplines.
- Strong programming skills in Python.
- Solid understanding of machine learning, deep learning, and modern AI architectures.
- Hands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent AI frameworks.
- Experience in developing and deploying AI models in practical applications.
- Strong understanding of Large Language Models (LLMs), Multimodal AI, Agentic AI, and Foundation Models.
- Familiarity with AI system integration, model evaluation, optimization, and deployment.
- Experience with Linux, Docker, Git, and software development best practices.
- Passionate about AI, robotics, and emerging technologies.
- Strong analytical thinking and problem-solving capabilities.
- Ability to bridge research and real-world deployment.
- Strong communication and teamwork skills.
- Self-motivated with a continuous learning mindset.
- Experience working in multidisciplinary and fast-paced innovation environments.
- Candidates with experience in one or more of the following areas are highly preferred:
• Embodied AI
• Physical AI
• Vision-Language-Action (VLA)
• Vision-Language Models (VLM)
• Large Language Models (LLM)
• AI Agents / Agentic AI
• Humanoid Robotics
• Mobile Manipulation
• Reinforcement Learning (RL)
• Imitation Learning
• World Models
• Robot Foundation Models
• Computer Vision
• Sensor Fusion
• Robotic Manipulation
• Autonomous Navigation
• ROS / ROS 2
• NVIDIA Isaac Sim / Isaac Lab
• Gazebo, MuJoCo, Habitat, ManiSkill or similar simulation platforms
• Edge AI and real-time inference systems
Assistant Engineer, Embodied AI
Robotics and Artificial Intelligence Division
Ref: RAD/11124
Job Description
Who we are looking for:
- Creativity in new ideas and future focus vision.
- Collaboration with colleagues and the community at large.
- Work Smart, Play Smart!
What you'll do:
- Research, develop, and deploy next-generation Embodied AI systems that integrate perception, reasoning, planning, and action in real-world environments.
- Design and implement AI models leveraging Large Language Models (LLMs), Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, multimodal foundation models, and agentic AI frameworks for intelligent robotic applications.
- Develop perception, scene understanding, task planning, and decision-making capabilities using multimodal data, including vision, language, audio, spatial information, force sensing, and other robotic sensor inputs.
- Build intelligent robotic solutions for humanoid robots, mobile manipulators, autonomous mobile robots (AMRs), and autonomous inspection or service robots.
- Develop robot learning pipelines using imitation learning, reinforcement learning, behavior cloning, world models, and simulation-to-real transfer techniques.
- Design and implement intelligent agents capable of task reasoning, workflow orchestration, tool use, and autonomous execution in physical environments.
- Develop and optimize AI-driven manipulation, navigation, interaction, and autonomous operation capabilities.
- Build robotic data pipelines, model evaluation frameworks, benchmarking tools, and continuous improvement workflows for Embodied AI systems.
- Deploy, test, and optimize AI models on physical robots and edge computing platforms.
- Participate in technical research, proof-of-concept development, pilot projects, and commercialization initiatives.
- Collaborate with cross-functional teams, industry partners, universities, and research institutions to deliver innovative AI and robotics solutions.
- Contribute to technical publications, intellectual property development, funding proposals, and strategic technology initiatives.
You'll be a good fit if you have/are:
- Bachelor's Degree, Master's Degree, or PhD in Computer Science, Artificial Intelligence, Robotics, Electronic Engineering, Data Science, Mechanical Engineering, or related disciplines.
- Strong programming skills in Python.
- Solid understanding of machine learning, deep learning, and modern AI architectures.
- Hands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent AI frameworks.
- Experience in developing and deploying AI models in practical applications.
- Strong understanding of Large Language Models (LLMs), Multimodal AI, Agentic AI, and Foundation Models.
- Familiarity with AI system integration, model evaluation, optimization, and deployment.
- Experience with Linux, Docker, Git, and software development best practices.
- Passionate about AI, robotics, and emerging technologies.
- Strong analytical thinking and problem-solving capabilities.
- Ability to bridge research and real-world deployment.
- Strong communication and teamwork skills.
- Self-motivated with a continuous learning mindset.
- Experience working in multidisciplinary and fast-paced innovation environments.
- Candidates with experience in one or more of the following areas are highly preferred:
• Embodied AI
• Physical AI
• Vision-Language-Action (VLA)
• Vision-Language Models (VLM)
• Large Language Models (LLM)
• AI Agents / Agentic AI
• Humanoid Robotics
• Mobile Manipulation
• Reinforcement Learning (RL)
• Imitation Learning
• World Models
• Robot Foundation Models
• Computer Vision
• Sensor Fusion
• Robotic Manipulation
• Autonomous Navigation
• ROS / ROS 2
• NVIDIA Isaac Sim / Isaac Lab
• Gazebo, MuJoCo, Habitat, ManiSkill or similar simulation platforms
• Edge AI and real-time inference systems