Physical AI Engineering & Strategy Specialist

Join a cutting-edge AI team building next-generation AI labs and enterprise robotics demonstrations. This role blends robotics engineering, AI strategy, and client-facing innovation—developing scalable Physical AI solutions that integrate robotics, simulation, and machine learning within the NVIDIA ecosystem. We are seeking an AI Specialist / Robotics Engineer with direct, hands-on experience programming Unitree robot dogs and humanoid robots and strong proficiency in NVIDIA Omniverse and Isaac Sim.

Key Responsibilities

• Architect and deploy scalable Physical AI demos integrating robotics hardware and software

• Design robotics solutions leveraging the NVIDIA stack (Omniverse, Isaac Sim, CUDA, Jetson)

• Lead development across robotics kinematics, perception, motion planning, and decision intelligence

• Integrate sensors (LiDAR, cameras) with real-time control systems

• Apply deep learning and reinforcement learning to robotic autonomy

• Present technical innovations at industry events and executive briefings

• Evaluate emerging robotics and Physical AI market opportunities

Required Qualifications

• Bachelor’s degree in Robotics, Computer Science, Mechanical or Electrical Engineering (MS/PhD preferred)

• Robotics engineering, simulation, or Physical AI

• Experience with Digital Twins and simulation environments (e.g., Isaac Sim, Gazebo)

• Strong programming skills in Python and/or C++

• Hands-on experience with ROS/ROS2

• Deep understanding of kinematics, dynamics, motion control, and sensor fusion

• Experience with TensorFlow and/or PyTorch

• Familiarity with NVIDIA ecosystem (Omniverse, CUDA, Jetson, Isaac platform)

• DevOps experience (Git, CI/CD, Azure DevOps) and Agile delivery

Preferred

• Experience building humanoid or quadruped robotics systems

• Background in enterprise AI consulting or client-facing solution architecture

• Public speaking or technical evangelism experience