AI-Powered Project Oracles for Hardware-Aware Software

Imec India Private Limited

Vlaams-Brabant

Sur place

EUR 11 000 - 17 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Internship allowance

Résumé du poste

imec is offering a Master internship in Leuven within the System Software team, focused on creating project oracles for hardware-aware software development using domain-adaptive AI. You will explore adapting LLMs to our domain, turning project docs into actionable knowledge, and evaluating real-world engineering use cases.

You’ll work with experts in software engineering and be embedded in a team that bridges AI and embedded systems, contributing to practical, scalable solutions for engineers

Qualifications

  • MSc student in Computer Science, AI, or a related field.
  • Available for 3–6 months (specify period in application).
  • Ability to communicate clearly and work independently.
  • Good written and verbal English skills.
  • Enjoy coding in Python and writing clean, reusable code.
  • Curious about AI, LLMs, and real-world engineering problems.
  • Eager to learn, take initiative, and deliver tangible results.
  • Experience with RAG frameworks, LLM fine-tuning, or vector databases is a plus.
  • Familiarity with embedded systems or hardware-adjacent software development is a bonus.

Responsabilités

  • Build a prototype that turns technical project documentation into a practical knowledge source.
  • Evaluate value of the prototype for real engineering use cases.
  • Propose how the prototype fits into developers’ workflows and provide recommendations.

Connaissances

Python
Clear communication
Independent work

Formation

MSc in Computer Science
MSc in Electrotechnics/Electrical Engineering
Other

Description du poste

imec is offering a Master internship in Leuven within the System Software team, focused on creating project oracles for hardware-aware software development using domain-adaptive AI. You will explore adapting LLMs to our domain, turning project docs into actionable knowledge, and evaluating real-world engineering use cases.

You’ll work with experts in software engineering and be embedded in a team that bridges AI and embedded systems, contributing to practical, scalable solutions for engineers

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