Physical AI Architect

Job description

**About the Role** We are seeking an experienced Physical AI Architect to design and lead end-to-end Physical AI solutions that bring intelligent autonomy to real-world robotic systems. This role combines deep expertise in robotics, computer vision, AI algorithms, and embedded systems to build solutions that perceive, plan, and act in dynamic environments.**Strong communication and presentation skills are essential for collaborating with cross-functional teams and clients.** **Key Responsibilities** - Design end-to-end Physical AI architectures for autonomous systems and robotic platforms - Lead integration of SLAM, path planning, motor control, and vision pipelines - Work with edge AI platforms: Qualcomm Snapdragon, NVIDIA Jetson, and similar processors - Architect multi-function camera pipelines for real-time perception and decision-making - Design precise motor control systems and feedback mechanisms for robotic actuators - Develop ROS-based solutions and optimize for production environments - Mentor hardware, firmware, and software engineers on Physical AI best practices - Communicate technical solutions to stakeholders and clients with clarity **Core Technical Skills** - Hands-on experience building Physical AI solutions from concept to deployment - SLAM (Simultaneous Localization and Mapping) algorithms and implementations - ROS (Robot Operating System) architecture and optimization - Precise motor control, PID tuning, and feedback systems - Edge AI platforms: Qualcomm Snapdragon, NVIDIA Jetson, MediaTek, and similar - Path planning algorithms (RRT, Dijkstra, A\\*, and variants) - Multi-function camera pipeline design and real-time processing - Computer vision (OpenCV, TensorFlow, PyTorch) for robotics - Vision Language Models (VLM) and Vision Language Action (VLA) for embodied AI - Strong communication and presentation skills for client and team engagement