EN/FR Deployment Engineer Internship – Physical AI & Robotics

Gobano Robotics; Nantes; Hybride; EUR 10 000 - 17 000; Plein temps

Résumé du poste

Gobano Robotics in Nantes is seeking an Deployment Engineer Intern to bridge mechanics, mechatronics, robotics, software and AI. You will work at Gobano and on customer sites to turn prototypes into production-ready systems.

This hands-on role involves building, installing, debugging, testing and improving robots, with data collection through teleoperation and field feedback to drive improvements. You will join a small engineering team tackling Physical AI deployment in real environments.

Qualifications

• Proven hands-on engineering mindset with practical problem solving.
• Interest in robotics, AI and cross-disciplinary work.
• Wamiliarity with field deployments and testing preferred.

Responsabilités

• Deploy robotic systems at Gobano and client sites.
• Troubleshoot and modify hardware and robotic cells on the field.
• Assist in integration, calibration and debugging across hardware, software and AI.
• Deploy and validate AI models on real robots in production environments.
• Run experiments, analyze failures and drive reliability improvements.
• Collect deployment data and feedback to guide engineering improvements.
• Help develop tools/processes to scale deployment.

Connaissances

Python

C++

Robotics

Hands-on

Formation

Mechanical engineering or mechatronics or robotics

Outils

Robot arms

Description du poste

ENGLISH SPEAKING CANDIDATES ARE WELCOME

As a Deployment Engineer Intern, you will work at the intersection of mechanics, mechatronics, robotics, software and AI.

You will spend time both at Gobano and directly on customer sites, helping turn robotic prototypes into complete systems that work in real industrial environments.

This is a very hands-on role: you will build, install, debug, modify, test and improve robots — and regularly need to find pragmatic solutions when reality does not quite match the initial plan.

A certain part of the internship will be dedicated to collecting data through robot teleoperation. This activity is essential to developing new robotic skills and is an integral part of the role.

What you will do

• Deploy complete robotic systems at Gobano and on customer sites: robot arms, grippers, cameras, sensors, computers and peripherals.

• Solve mechanical and mechatronic problems on the field, from designing a simple fixture or adapter to modifying a robotic cell to fit a customer's constraints.

• Participate in integration, calibration and debugging across hardware, robotics software and AI.

• Deploy and test our Physical AI models on real robots, working closely with our AI & Robotics engineers.

• Run experiments, analyse failures and help improve the reliability and performance of deployed systems.

• Collect data and feedback from real deployments and turn field problems into actionable improvements for our engineering team.

• Help develop the tools and processes that will allow Gobano to deploy more robots, faster and more reliably.

You will join a small engineering team tackling one of the hardest problems in robotics: making Physical AI actually work in production.

Rather than working on an isolated subsystem, you will see the full lifecycle of a robotic application — from the first prototype to the AI model, through integration, testing and deployment at the customer site.

You could be a great fit if you:

• Are studying mechanical engineering, mechatronics, robotics or a related engineering field

• Enjoy building things and solving problems with your own hands

• Are comfortable moving between mechanical, electrical and software problems

• Have basic programming skills — Python and/or C++ are a plus

• Are curious about robotics and AI, even if you haven't worked directly on AI models before

• Like understanding why something doesn't work and fixing it

• Are autonomous, pragmatic and comfortable operating in fast-moving environments

• Are excited by spending time on the field rather than only behind a desk

You don't need to already know everything about robotics deployment. What matters most is that you are technically curious, resourceful and eager to learn across disciplines.