Physical AI Field Delivery Engineer

pWe are seeking a highly motivated Physical AI Field Design Engineer (FDE) to design, deploy, and scale AI-powered solutions that bridge the physical and digital worlds. This role combines expertise in computer vision, robotics, edge AI, robotics, industrial IoT, and machine learning to deliver real-time intelligence for industrial environments such as manufacturing, energy, transportation, logistics, and smart infrastructure. /p pThe ideal candidate will work closely with customers, engineering teams, and solution architects to develop production-grade Physical AI applications leveraging cameras, LiDAR, drones, robotics, and edge computing platforms. /p h3Key Responsibilities /h3 ul liDesign and deploy Physical AI solutions for industrial and operational environments. /li liDevelop and optimize computer vision models for inspection, object detection, tracking, anomaly detection, and video analytics. /li liDeploy and manage AI workloads on edge platforms such as NVIDIA Jetson and integrate them with enterprise cloud systems. /li liDevelop and implement robotic and autonomous systems using ROS/ROS2 for real-world industrial applications. /li liEnable autonomous perception, navigation, localization, and decision-making through sensor-driven AI systems. /li liDesign and support drone, robotic inspection, and autonomous monitoring solutions. /li liIntegrate industrial sensors and control systems including cameras, LiDAR, telemetry, PLCs, and automation platforms. /li liBuild real-time data acquisition, analytics, and edge-to-cloud architectures for scalable AI operations. /li liLead customer workshops, translate business challenges into AI solutions, and support PoCs through production deployment. /li liMonitor, troubleshoot, and optimize deployed AI systems, including model lifecycle management and operational performance. /li liAbility to execute and lead requirements gathering, technical discovery workshops, solution design, Proof-of-Concept execution, executive presentations and business value articulation /li /ul h3Mandatory

Skills:
/h3 ul liComputer Vision: OpenCV, Object Detection, Video Analytics /li liMachine Learning: PyTorch/TensorFlow /li liEdge AI / Embedded ML: NVIDIA Jetson, TensorRT, ONNX /li /ul h3Required Technical Skills /h3 ul liComputer Vision: OpenCV, Object Detection, Video Analytics /li liMachine Learning: PyTorch/TensorFlow /li liEdge AI / Embedded ML: NVIDIA Jetson, TensorRT, ONNX /li liRobotics: ROS/ROS2, SLAM /li liIndustrial IoT and Sensor Integration: Camera, LiDAR, Sensor Fusion, Telemetry /li liProgramming: Python and C++ /li liDigital Twins Simulation (NVIDIA Omniverse, Isaac Sim) /li liArchitecture: Edge-to-Cloud deployment /li liIndustrial Automation and Manufacturing Systems (PLC, SCADA, OPC-UA, MQTT) /li /ul h3Preferred Experience /h3 ul liManufacturing, Steel, Mining, Energy, or Industrial Automation sectors /li liRobotic vision systems, drones, or autonomous systems /li liMLOps, Docker, Kubernetes, Azure AI /li /ul h3Ideal Profile /h3 pYou are a hands-on engineer who thrives at the intersection of AI, robotics, and industrial operations. You have successfully deployed production-grade AI solutions in real-world environments and understand how to transform sensor data into operational intelligence. Robotics Engineer, Computer Vision Engineer, Edge AI Engineer, Industrial IoT Engineer, or Embedded ML Specialist with experience delivering production-grade AI solutions in industrial environments. /p