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
In the Operations team, you will:
- 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.
Skills Required
- Pursuing a Masters degree or 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, data structuring)
- Fundamental understanding of electronic circuits, components, and schematics
- Familiarity with EDA tools and file formats (Mentor Graphics, Cadence, Netlists, BOMs)
- Basic knowledge of reliability engineering concepts or FMEA
- Ability to bridge hardware engineering and software/AI development (hybrid thinker)
- Problem-solving mindset and pragmatic project scoping
- Autonomous, curious, experimental attitude
- Good communication skills to present findings to software and hardware teams
Thales Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thales and has not been reviewed or approved by Thales.
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Retirement Support — Retirement plans with employer contributions and matches, profit sharing, and share purchase opportunities are emphasized across multiple regions. These elements are positioned as competitive components of total rewards.
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Leave & Time Off Breadth — Generous PTO that increases with tenure, paid holidays, and paid military, maternity, and paternity leave are described. This breadth supports work–life balance across locations.
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Flexible Benefits — Hybrid work options, flexible schedules, and parental supports such as childcare benefits and leave for sick children are available in several markets. Flexibility is presented as a core part of the employee experience.
Thales Insights
What We Do
Thales is a global high technology leader investing in digital and “deep tech” innovations – connectivity, big data, artificial intelligence, cybersecurity and quantum technology – to build a future we can all trust, which is vital to the development of our societies. The company provides solutions, services and products that help its customers – businesses, organisations and states – in the defence, aeronautics, space, transportation and digital identity and security markets to fulfil their critical missions, by placing humans at the heart of the decision-making process.
