Physical AI Field Delivery Engineer (Computer Vision/Edge AI/ROS2) – Remote EEA (50% Travel)

HumanIT Digital Consulting; Lisboa; Remote; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

HumanIT Digital Consulting in Portugal is seeking a Physical AI Field Delivery Engineer (Computer Vision/Edge AI/ROS2) for remote-first work in the EEA with about 50% travel to client sites across Europe. You will design and deploy Physical AI solutions in industrial environments, from discovery through to production, leading technical workshops and delivering production-grade AI applications.

Candidate will have hands-on CV/robotics experience, OpenCV, PyTorch or TensorFlow, ROS2, NVIDIA

Qualifikationen

• Hands-on engineering background in computer vision, robotics, edge AI, or industrial IoT with production deployments.
• Fluent English written and spoken at customer-facing and executive level.
• Willingness to travel across Europe approximately 50% of the time.
• Based within the European Economic Area (EEA).
• Experience with OpenCV, video analytics, and model development (PyTorch/TensorFlow).
• Deployment on NVIDIA Jetson and optimization with TensorRT/ONNX.
• ROS/ROS2 development for industrial applications; sensor fusion and edge-to-cloud pipelines.

Aufgaben

• Lead customer-facing workshops and own the technical delivery of production-grade AI applications.
• Collaborate with solution architects and engineering teams to deliver projects from requirements to production.
• Deploy and optimize AI workloads on edge devices (NVIDIA Jetson) and integrate sensors (cameras, LiDAR, PLCs).
• Manage deployments across industrial environments and provide ongoing optimisation.

Kenntnisse

English fluency

Travel readiness

EEA resident

Computer vision

Robotics

Edge AI

Industrial IoT

Python

C++

Tools

OpenCV

PyTorch

TensorFlow

NVIDIA Jetson

TensorRT

ONNX

ROS/ROS2

Cameras/LiDAR/PLC integration

OPC-UA

MQTT/SCADA

Jobbeschreibung

Physical AI Field Delivery Engineer (Computer Vision/Edge AI/ROS2) – Remote EEA (50% Travel)

Job Openings Physical AI Field Delivery Engineer (Computer Vision/Edge AI/ROS2) – Remote EEA (50% Travel)

About the job Physical AI Field Delivery Engineer (Computer Vision/Edge AI/ROS2) – Remote EEA (50% Travel)

Physical AI Field Delivery Engineer (Computer Vision/Edge AI/ROS2) – Remote EEA (50% Travel)

ABOUT THE OPPORTUNITY

This is a rare engineering role that sits at the intersection of AI, robotics, and industrial operations — and actually ships into the real world. You’ll be designing and deploying Physical AI solutions in environments like manufacturing plants, energy infrastructure, logistics hubs, and smart facilities, working directly with customers from discovery through to production. If you’ve built computer vision or edge AI systems that run on physical hardware in industrial settings — not just in notebooks — and you’re comfortable leading technical workshops as much as writing optimised inference code, this is the scope you’ve been looking for.

The role is remote-first within the EEA, with approximately 50% travel to client sites across Europe.

PROJECT & CONTEXT

You’ll work as a Field Delivery Engineer on Physical AI initiatives — spanning computer vision, robotics, edge computing, and industrial IoT — for customers in sectors such as manufacturing, energy, transportation, logistics, and smart infrastructure. Engagements run from requirements gathering and PoC through to full production deployment and ongoing optimisation. You’ll collaborate with solution architects and engineering teams, lead customer-facing workshops, and own the technical delivery of production-grade AI applications leveraging cameras, LiDAR, drones, robotics platforms, and edge computing hardware. Contract runs until 31 March 2027, starting ASAP.

WHAT WE’RE LOOKING FOR

Experience

• Hands‑on engineering background in computer vision, robotics, edge AI, or industrial IoT — with demonstrable production deployments in real-world environments
• Fluent English — written and spoken, at both 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)

Computer Vision

• 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

Edge AI & Embedded ML

• Deployment and optimisation of AI workloads on NVIDIA Jetson platforms
• Experience with TensorRT for inference optimisation and ONNX for model portability

Robotics & Autonomous Systems

• Development and integration using ROS / ROS2 for real‑world industrial applications
• SLAM for autonomous navigation and localisation
• Sensor‑driven AI for autonomous perception and decision‑making
• Integration of cameras, LiDAR, telemetry, and PLCs in operational environments
• Sensor fusion and real‑time data acquisition for edge‑to‑cloud pipelines
• Familiarity with industrial automation protocols: OPC-UA, MQTT, SCADA

Programming

• Strong proficiency in Python and C++ for AI system development and optimisation

Customer & Delivery Skills

• 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

NICE TO HAVE

• Sector experience in manufacturing, steel, mining, energy, or industrial automation
• Experience with robotic vision systems, drones, or autonomous inspection platforms
• Digital Twins and simulation — NVIDIA Omniverse, Isaac Sim
• MLOps practices and tooling: Docker, Kubernetes, Azure AI
• Background in drone operations or autonomous monitoring systems in industrial environments