Physical ai field design engineer (fde)

Sobre a vaga

Design, develop, and deploy Physical AI solutions for industrial environments, translating business challenges into scalable technical solutions. Develop and optimize computer vision and machine learning models for object detection, tracking, inspection, and video analytics.

O que vais fazer

• Design, develop, and deploy Physical AI solutions for industrial environments, translating business challenges into scalable technical solutions
• Develop and optimize computer vision and machine learning models for object detection, tracking, inspection, anomaly detection, and video analytics
• Deploy and optimize AI workloads on edge computing platforms, particularly NVIDIA Jetson, leveraging TensorRT and ONNX for real-time inference
• Develop and integrate robotic and autonomous systems using ROS/ROS2, supporting perception, localization, navigation, and decision-making
• Integrate cameras, LiDAR, drones, industrial sensors, telemetry, and automation systems into AI-powered solutions
• Design and implement edge-to-cloud architectures for real-time data acquisition, processing, analytics, and scalable AI operations
• Support the development of robotic inspection, autonomous monitoring, and sensor-driven industrial applications
• Integrate AI solutions with industrial automation and operational technology systems, including PLCs, SCADA, OPC UA, and MQTT
• Lead customer workshops, technical discovery sessions, requirements gathering, and solution design activities
• Develop and execute Proofs of Concept (PoCs), supporting the transition from prototype to production deployment
• Collaborate with customers, engineering teams, and solution architects to define technical requirements and implementation strategies
• Monitor, troubleshoot, and optimize deployed AI solutions, ensuring performance, reliability, scalability, and continuous improvement
• Present technical solutions and PoC results to stakeholders, demonstrating business value and expected operational benefits

O que é pedido

• Hands-on experience in Computer Vision, including OpenCV, object detection, and video analytics
• Practical experience developing and deploying Machine Learning and Deep Learning models using PyTorch and/or TensorFlow
• Experience with Edge AI or Embedded ML, including NVIDIA Jetson, TensorRT, and ONNX
• Strong programming skills in Python and C++
• Knowledge of robotics and autonomous systems, including ROS/ROS2
• Understanding of SLAM, sensor fusion, localization, or autonomous perception
• Experience integrating cameras, LiDAR, telemetry, or other industrial sensors
• Understanding of edge computing architectures and edge-to-cloud integration
• Familiarity with industrial automation and connectivity technologies, such as PLCs, SCADA, OPC UA, and MQTT
• Ability to translate customer requirements into technical solutions and support the delivery of production-ready applications
• Strong problem-solving, communication, and collaboration skills
• Ability to conduct technical workshops and communicate complex technical concepts to technical and non-technical stakeholders

Valorizado

• Experience in manufacturing, steel, mining, energy, transportation, logistics, or industrial automation
• Previous experience deploying production-grade AI solutions in real-world industrial environments
• Experience with robotic vision systems, drones, autonomous inspection, or autonomous monitoring
• Knowledge of digital twins and simulation platforms, particularly NVIDIA Omniverse and NVIDIA Isaac Sim
• Experience with MLOps, model lifecycle management, and AI deployment automation
• Familiarity with Docker, Kubernetes, and cloud AI platforms such as Microsoft Azure AI
• Experience integrating AI solutions with industrial IT and OT environments
• Previous experience in Field Engineering, Solution Engineering, Technical Consulting, or customer-facing engineering roles
• Experience leading Proofs of Concept, technical demonstrations, executive presentations, and business value assessments
• Familiarity with industrial robotics, real-time analytics, and large-scale AI deployments

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

✸ Benefícios e vantagens (8)

• Comida, fruta e bebida
• Estacionamento gratuito ou condições especiais
• Flexibilidade de horário
• Ginásio & atividades desportivas
• Jogos no escritório
• Perto de transportes públicos
• Programa de descontos
• Seguro de saúde

✸ Valores e cultura (7)

• Aberto a open source
• Ambiente internacional
• Depende do projeto / equipa
• Equipa com senioridade elevada
• Incentivo à criatividade & inovação
• Membros impressionantes na equipa
• Metodologias ágeis