Stage ingénieur : Caractérisation de puces NFC assistée par l’IA (H/F)
NXP SemiconductorsNXP Semiconductors is hiring for a six‑month, full‑time internship onsite in Caen, France, to help advance the data-analysis tools used to characterize NFC, UWB and related ICs produced and tested at industrial scale. The Secure Transaction & Identification Product Line oversees the design of microelectronic circuits for mobile devices and wearables, with teams in Caen and Mougins in France and a global footprint that includes Austria, the United States and Asia. This opportunity is a good fit for someone who wants hands-on experience at the intersection of electronics and data science, and who enjoys collaborating with colleagues across Europe and Asia.
As part of a multidisciplinary team that includes analog and digital electronics experts as well as data scientists, you’ll be immersed in a technical field with real-world impact. The project centers on turning test data into reliable performance insights, helping ensure components meet specs while speeding up identification and resolution of issues. If you’re excited by practical data analysis challenges in hardware, this internship could be a strong next step.
The role blends hands-on coding with strong communication, offering exposure to a global engineering environment. You’ll work closely with product engineers and other specialists, translating their needs into a data-driven solution and presenting results in English to colleagues across continents.
Turning tests into trusted specifications
You’ll build a data-analysis tool that automates the characterization of integrated circuits, starting with preparing the test data, then applying statistical analyses to derive meaningful insights and validating outcomes against customer specifications. The data pipeline will be developed entirely in Python, with Polars handling the data processing steps, and you’ll manage specifications through a semantic-embedding approach that feeds a retrieval‑augmented generation workflow for a large language model. Frequent English communication with engineers in Europe and Asia will be a core part of delivering a solution that meets their needs.
In practical terms, your daily work will span assembling and cleaning data from tests, performing statistical checks, and documenting the results to support decision-making. You’ll also contribute to the ongoing improvement of the analysis tools, ensuring they scale as the ICs move from test benches to industrial production, while keeping a clear link between test outcomes and customer expectations.
Your profile in focus
- Master’s degree (Bac +5) in electronics, statistics or mathematics, or computer science.
- Solid knowledge of data science and the ability to implement statistical algorithms, with a project using Python 3 for data processing.
- Strong technical English, since the team is international and all documentation is written in English.
- Nice to have: familiarity with microelectronics and/or the statistical analysis of multimodal distributions.
On-site, six-month, full‑time internship details
The internship is based in Caen, France, and runs for six months on a full-time schedule. It places you inside the Product Line Secure Transaction & Identification, alongside engineers and data specialists who collaborate across Europe and Asia. All existing and future documentation is in English, and daily work involves communicating with a global team to implement solutions that align with their needs.
For more context about the company's footprint in France, you can learn more at this page: More information about NXP in France...
Advice for applicants crafted from this role
Lead with your Master’s and the field you studied, placing it at the top of your resume so reviewers immediately see your fit for electronics, statistics or computer science.
Show concrete Python 3 work that involved data processing. If you’ve used Polars or similar libraries, describe the project, the data pipeline you built, and the outcomes you achieved to illustrate your readiness for the data-preparation tasks here.
Highlight any exposure to microelectronics or the statistical analysis of multimodal distributions, even as a side project or class assignment. These details help demonstrate alignment with the role’s technical focus.
Prepare to discuss how you would approach English-language collaboration with engineers across Europe and Asia. If you have experience with embedding-based approaches or RAG for LLMs, be ready to explain how you’d apply those concepts to manage specifications and validate results.