Stage ingénieur : Développement d’outils d’Intelligence Artificielle pour l’automatisation et la capitalisation des connaissances EMC/ESD (H/F)
NXP SemiconductorsNXP Semiconductors is looking for an engineering student to join the EMC/ESD team in Toulouse for a full‑time, on‑site internship centered on building AI-powered tools that automate engineering tasks and capture the team’s know‑how. This role is a hands‑on chance to work with a leading semiconductor company and to contribute to robustness in automotive, industrial, and IoT applications. If you enjoy applying AI to real engineering challenges and collaborating with cross‑functional teams, this could be a fit for you.
The Toulouse EMC/ESD group has accumulated a large store of technical data, analysis reports, field feedback, and lessons learned from many projects. The goal here is to unlock that knowledge with internal AI capabilities, designing an AI workflow that helps access information and supports decision‑making for experts. You’ll help build intelligent assistants that assist designers and analysts as they work on circuit robustness against EMI and electrostatic effects.
Through this internship you’ll see how AI can be brought to life in an industrial setting, and you’ll gain experience working alongside seasoned engineers who specialise in measuring, simulating, and validating electromagnetic robustness. It’s a unique chance to apply AI technologies to real microelectronics problems and to develop practical tools used by the EMC/ESD team.
Shaping AI flows for EMC/ESD in Toulouse
Within the Toulouse EMC/ESD team, you’ll contribute to defining and building AI‑based solutions that raise engineering efficiency and help capture the team’s expertise. You’ll start with a thorough review of how generative AI and machine learning can be applied to EMC/ESD engineering and then map out opportunities to leverage internal AI tools at NXP for the work you’ll be doing.
As you progress, you’ll write scripts and build automation that makes repetitive analysis, reporting, and data handling tasks simpler. You’ll design a smart workflow that makes technical knowledge easier to access, and you’ll help structure a knowledge base that blends lessons learned, best practices, and design recommendations from past projects. You’ll also help create AI assistants capable of supporting engineers in daily activities such as document searches, analysis support, report generation, and technical recommendations. To stay grounded in real needs, you’ll participate in EMC/ESD projects to gain the business context and you’ll evaluate how well the solutions perform and deliver benefits, documenting what you learn and presenting results to the design and EMC/ESD expert teams.
In short, you’ll sculpt an AI‑driven workflow that makes the team’s knowledge more accessible and usable, while delivering tangible tools that streamline how engineers work on robustness challenges for integrated circuits.
What you’ll bring to the team
We’re looking for an engineering student or a Master’s candidate (MSc, final year) with a focus in one or more of these areas: electronics, microelectronics, EMC, or related programming and AI tracks.
Strong grounding in both analogue and digital electronics
Familiarity with EMC concepts and/or ESD basics
Proficiency in at least one programming language, with Python preferred
Knowledge of machine learning, generative AI, or data processing methods
Interest in applying AI technologies to engineering problems
Ability to manipulate, structure and analyse technical data
Beyond these technical blocks, the team values a curious, independent mindset and a collaborative spirit. In addition, an aptitude for explaining complex topics clearly and working well with others will help you succeed in this environment. A good level of English is required for collaboration across international teams.
Practical details you can count on
This internship takes place onsite in Toulouse, France, and is designed for students pursuing a Master’s degree or equivalent in engineering. The posting notes that English proficiency is important for collaboration within an international context, and the role is described as an internship focused on applying AI to engineering challenges in microelectronics and EMC/ESD robustness.
Opportunities like this let you apply AI technologies to real industrial problems and learn from recognized experts at a leading semiconductor company.
To learn more about NXP’s presence in France, you can explore the location information linked in the original posting.
Three practical tips to help you stand out for this internship
Lead your resume with your electronics focus and any concrete AI or data projects you’ve tackled, especially those that involve automation, data management, or knowledge organization. If you’ve built Python scripts to automate analyses or reporting, make that explicit and quantify any time you saved or accuracy gains you achieved.
Show your must‑have skills through a compact case study or a portfolio piece: describe a project where you organised technical data, built or used an automation script, and demonstrated an understanding of EMC/ESD concepts in a tangible way. If you can, include a link to code or a brief demo that highlights your ability to structure information and derive insights.
For the interview, be ready to discuss how you’d approach an AI Flow project from a clean slate to a working prototype. Explain how you’d assess the value of AI assistants, how you’d measure performance, and how you’d adapt the workflow as you learn from early results. Think through a simple scenario you’d present, such as helping a designer search documentation and generate a first draft of a design recommendation.
Ask a precise question about the team’s AI toolkit: which internal NXP AI tools could you leverage for EMC/ESD, and how would the new AI Flow integrate with existing workflows and knowledge bases? This shows you’ve thought about practical integration and impact from day one.