AI Strategy & Architecture For Alternance : Automated Test Program (TP) Generation F/M (AI)

TL;DR

AI Strategy & Architecture Engineer (AI): Defining an AI strategy and target architecture for the automatic generation of Test Programs (TP) with an accent on engineering feasibility and modular design. Focus on state-of-the-art GenAI review, feasibility assessment of architectural blocks, and integration into industrial development workflows.

Location: Sophia-Antipolis (Valbonne), France

Company

World leader in secure connectivity solutions for embedded applications across automotive, industrial, IoT, and mobile markets.

What you will do

• Conduct a state-of-the-art review of AI and Generative AI approaches applicable to code and test generation.
• Define a target modular architecture, including functional blocks, data flow, and interfaces.
• Assess feasibility and technical risks for each architectural block.
• Identify a compliant minimum viable scope and integrate it into existing TP development workflows.
• Develop a proof of concept for a selected architectural block to validate the proposed approach.
• Create final recommendations and a strategic roadmap for industrial implementation.

Requirements

• Master’s or Engineering student in Computer Science, Software Engineering, AI, or a related field.
• Strong software engineering fundamentals in Python and/or Java.
• Strong interest in AI, automation, and software architecture.
• Structured mindset with the ability to document and communicate technical findings.
• Must be based in or able to work onsite in Sophia-Antipolis (Valbonne), France.

Nice to have

• Knowledge of CI/CD, code quality, or test automation concepts.
• Familiarity with Generative AI and LLM principles.

Culture & Benefits

• Access to online and offline learning opportunities for professional skill development.
• Inclusive work environment with a strong commitment to diversity, equality, and sustainability.
• Opportunity to grow a career within a global semiconductor industry leader.