Thales

1 month ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 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

Website LinkedIn

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Thales

1 month ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

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

Website LinkedIn