AI Engineer - Internship (Open also to Protected Categories, Law 68/99)

Thales; Gorgonzola; Ibrido; EUR 30.000 - 40.000; Tempo pieno

Vantaggi offerti da questo lavoro

Career development opportunities

Flexible working options

Descrizione del lavoro

Thales in Gorgonzola, Italy, is looking for an AI Intern to assist with developing an innovative AI tool aimed at automating the initial drafting of FMEA reports. The ideal candidate will have strong programming skills in Python and be pursuing a Master’s degree, preferably in Electrical Engineering or Computer Science/AI.

This role involves analyzing electronic data, developing AI/data pipelines, and generating reports for review. Join Thales to be part of a team that's shaping the future of technology.

Competenze

• Currently pursuing a Master’s degree in a relevant field.
• Strong programming skills in Python.
• Experience with AI/Machine Learning, especially NLP.

Mansioni

• Analyze electronic data from unstructured and structured outputs.
• Develop AI/Data pipeline using Python for circuit topology mapping.
• Integrate algorithms with historical failure files for predictions.
• Generate standardized FMEA reports for review.
• Test AI logic with hardware engineers on electronic boards.

Conoscenze

Python programming

AI/Machine Learning concepts

Understanding of electronic circuits

Formazione

Master’s degree in Electrical Engineering or Computer Science/AI

Strumenti

EDA software (e.g., Mentor Graphics, Cadence)

Descrizione del lavoro

Location: Gorgonzola, Italy

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

Gorgonzola hosts Navigations Air Systems (NAS) domain. The activity of NAS domain: avionics, navigation and radar systems for civil air traffic and technologies supporting the activities of civilian and military pilots, ATC controllers and technicians of several airlines, air traffic control agencies and Air Force around the world. Italy is the Group’s Competence center for the design, production and delivery of Navigation Aids products and Competence Centre for the delivery of non-Radar Surveillance Products.

Job title: AI Intern

As part of our digital transformation, we are launching an innovative Proof of Concept to develop an AI-assisted tool capable of automating the initial drafting of an FMEA. The AI should analyze unstructured and structured exports (e.g. BOMs) and cross-reference them with historical reliability files to predict failure modes and their local effects.

Key Responsibilities

• Analyze electronic data: understand and parse unstructured (pdf drawings) and structured outputs from standard EDA software (e.g., Mentor Graphics, Cadence).
• Develop an AI/Data pipeline: design and implement a Python-based AI strategy, combining NLP and Computer Vision techniques (LLMs and LVMs) with graph-based approaches to map circuit topologies and understand component relationships.
• Integrate historical data: connect your algorithm to historical failures files to accurately predict how specific components (e.g., resistors, capacitors, ICs) fail within their specific circuit context.
• Generate FMEA reports: structure the AI’s output into a standardized FMEA format that human engineers can review and validate.
• Test and validate: Work closely with hardware engineers to validate the AI's logic on a simple, baseline electronic board to prove the concept's viability.

Requirements

• Currently pursuing a Master’s degree or in the final year of an engineering School. Preferred majors: Electrical Engineering or Computer Science /AI.
• Strong programming skills in Python.
• Experience with AI/Machine Learning concepts (NLP, LLM prompting/fine-tuning, or data structuring).
• Fundamental understanding of electronic circuits, components, and schematics.
• Familiarity with EDA tools and file formats (Netlists, BOMs) is a plus.
• Basic knowledge of reliability engineering concepts or FMEA is advantageous.

Soft Skills

• Hybrid Thinker: Ability to bridge the gap between hardware engineering and software/AI development.
• Problem Solver: A pragmatic approach to scoping AI projects (starting simple and scaling up).
• Autonomous & Curious: Eager to dive into historical technical data and experiment with new algorithmic approaches.
• Good communication skills to present your findings to both software and hardware teams.

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!