Physical AI Field Delivery Engineer
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
We 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.
The 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.
Key Responsibilities
- Design and deploy Physical AI solutions for industrial and operational environments.
- Develop and optimize computer vision models for inspection, object detection, tracking, anomaly detection, and video analytics.
- Deploy and manage AI workloads on edge platforms such as NVIDIA Jetson and integrate them with enterprise cloud systems.
- Develop and implement robotic and autonomous systems using ROS/ROS2 for real-world industrial applications.
- Enable autonomous perception, navigation, localization, and decision-making through sensor-driven AI systems.
- Design and support drone, robotic inspection, and autonomous monitoring solutions.
- Integrate industrial sensors and control systems including cameras, LiDAR, telemetry, PLCs, and automation platforms.
- Build real-time data acquisition, analytics, and edge-to-cloud architectures for scalable AI operations.
- Lead customer workshops, translate business challenges into AI solutions, and support PoCs through production deployment.
- Monitor, troubleshoot, and optimize deployed AI systems, including model lifecycle management and operational performance.
- Ability to execute and lead requirements gathering, technical discovery workshops, solution design, Proof-of-Concept execution, executive presentations and business value articulation
Mandatory Skills:
- Computer Vision: OpenCV, Object Detection, Video Analytics
- Machine Learning: PyTorch/TensorFlow
- Edge AI / Embedded ML: NVIDIA Jetson, TensorRT, ONNX
Required Technical Skills
- Computer Vision: OpenCV, Object Detection, Video Analytics
- Machine Learning: PyTorch/TensorFlow
- Edge AI / Embedded ML: NVIDIA Jetson, TensorRT, ONNX
- Robotics: ROS/ROS2, SLAM
- Industrial IoT and Sensor Integration: Camera, LiDAR, Sensor Fusion, Telemetry
- Programming: Python and C++
- Digital Twins & Simulation (NVIDIA Omniverse, Isaac Sim)
- Architecture: Edge-to-Cloud deployment
- Industrial Automation and Manufacturing Systems (PLC, SCADA, OPC-UA, MQTT)
Preferred Experience
- Manufacturing, Steel, Mining, Energy, or Industrial Automation sectors
- Robotic vision systems, drones, or autonomous systems
- MLOps, Docker, Kubernetes, Azure AI
Ideal Profile
You 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.