Physical AI Field Delivery Engineer – Computer Vision, Edge AI, ROS2

HumanIT Digital Consulting

. Design and deploy Physical AI solutions in manufacturing plants, energy infrastructure, logistics hubs, and smart facilities .

Posted 10/14/2026contractRemote • PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying Physical AI solutions, with a strong focus on computer vision, robotics, and edge computing. Proficient in leading technical workshops and translating complex business challenges into actionable AI solutions.

Highest-signal resume keywords

Computer VisionRoboticsEdge AIProduction DeploymentsModel Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

OpenCVPyTorchTensorFlowNVIDIA JetsonSLAMPythonC++Model OptimisationObject DetectionVideo Analytics

Soft Skills

Customer-Facing CommunicationTechnical DiscoveryExecutive Presentation

Tools & Technologies

ROSROS2TensorRTONNXOPC-UAMQTTSCADA

Industry Keywords

Industrial IoTEdge ComputingSensor FusionReal-Time InferenceAnomaly Detection

Tech Stack

Tools & technologies

CloudIoTPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Design and deploy Physical AI solutions in manufacturing plants, energy infrastructure, logistics hubs, and smart facilities
Work directly with customers from discovery through production
Gather requirements and execute proofs of concept through full production deployment and ongoing optimisation
Collaborate with solution architects and engineering teams
Lead customer-facing technical workshops
Own technical delivery of production-grade AI applications
Leverage cameras, LiDAR, drones, robotics platforms, and edge computing hardware
Develop computer vision, robotics, edge computing, and industrial IoT solutions
Conduct model development and optimisation for inspection, tracking, anomaly detection, and real-time inference
Integrate sensors and industrial systems into edge-to-cloud pipelines

Requirements

What you’ll need

Hands-on engineering background in computer vision, robotics, edge AI, or industrial IoT
Demonstrable production deployments in real-world environments
Fluent English, written and spoken, at customer-facing and executive presentation level
Available and willing to travel across Europe approximately 50% of the time
Based within the European Economic Area (EEA)
Production-grade experience with OpenCV, object detection frameworks, and video analytics pipelines
Model development and optimisation for inspection, tracking, anomaly detection, and real-time inference
Hands-on model development with PyTorch and/or TensorFlow for vision and perception tasks
Understanding of model lifecycle management and operational performance monitoring
Deployment and optimisation of AI workloads on NVIDIA Jetson platforms
Experience with TensorRT and ONNX
Edge-to-cloud architecture design
Development and integration using ROS / ROS2
Experience with SLAM
Sensor-driven AI for autonomous perception and decision-making
Integration of cameras, LiDAR, telemetry, and PLCs
Sensor fusion and real-time data acquisition
Familiarity with OPC-UA, MQTT, and SCADA
Strong proficiency in Python and C++
Ability to lead requirements gathering, technical discovery workshops, PoC execution, and executive presentations
Comfortable translating business challenges into AI solution designs and articulating business value to non-technical stakeholders

Benefits

Comp & perks

Remote-first work arrangement within the EEA
Approximately 50% travel to client sites across Europe
Contract through 31 March 2027