Physical AI Engineer
Tasks
- Apply source control testing documentation and configuration management
- Build modular reusable ai and robotics capabilities
- Build multi modal data fusion pipelines
- Deliver client demonstrations and innovation sessions
- Design control architectures for robots
- Design experiments and evaluation for physical ai scenarios
- Design tools and services with apis and schemas
- Develop apis services sdks and containerized components
- Develop python software for robotics ai and automation
- Develop vision language and vision language action models
- Enable robot reasoning planning and tool use with llms and agentic ai
- Evaluate robotics platforms and ai models
- Integrate robotics ai capabilities with agentic frameworks and enterprise systems
- Research physical ai and robotics
- Simulate robotic capabilities in nvidia isaac sim gazebo and mujoco
- Support lab operations configuration and maintenance
- Train fine tune evaluate and deploy machine learning models for robotics
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | C++ | CI/CD | Computer Vision | Control Systems | Data Fusion | Deep learning | Docker | Edge Computing | Gazebo | Git | Hugging Face | Imitation Learning | Isaac Sim | Kinematics | LLMs | Language Models | Localization | Machine Learning | Motion Planning | Mujoco | Multimodal AI | NVIDIA Isaac | NVIDIA Isaac Sim | NVIDIA Jetson | Navigation | Object Detection | Pose Estimation | PyTorch | Python | REST APIs | ROS2 | Reinforcement Learning | Robotics | Scene Understanding | Segmentation | TensorFlow | Tracking | Vision Language Models | Vision-language | Vision-language-action
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Engineer | Physical AI Engineer | Robotics Engineer
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