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

Thales
Italy
Workplace: HybridInternshipFunction: Data Science & Machine LearningEducation: mastersSkills: ["Python","NLP","LLMs","Computer Vision","EDA","Mentor Graphics","Cadence","Netlists","BOMs"]

AI Intern in the NAS domain, developing an AI-assisted tool to automate the initial drafting of FMEA. You will design a Python-based AI/data pipeline using NLP and computer vision to map circuit topologies, integrate historical failure data, and generate standardized FMEA reports for review by hardware and software engineers, contributing to a Proof of Concept for AI-driven reliability analysis in avionics.

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FursaFursa
Thales
Thales
3 months ago

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

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

AI Intern in the NAS domain, developing an AI-assisted tool to automate the initial drafting of FMEA. You will design a Python-based AI/data pipeline using NLP and computer vision to map circuit topologies, integrate historical failure data, and generate standardized FMEA reports for review by hardware and software engineers, contributing to a Proof of Concept for AI-driven reliability analysis in avionics.
Location: Italy
Workplace: Hybrid
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

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.

Key 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.
Experience:AerospaceDefenceNavigationAvionics
Education:Master's in Electrical Engineering / AI
Skills:PythonNLPLLMsComputer VisionEDAMentor GraphicsCadenceNetlistsBOMs
Tech Stack:PythonNLPLLMsGraphMentor GraphicsCadenceEDA

Company Brief

Thales
Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 2000
WebsiteLinkedIn