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