Internship – Product Engineering (Data Science: Machine Learning Analyst)

The future starts here! Ready to join NXP ?

Become part of a dynamic Product Engineering team that is working on products driving One of the mega trends in the evolution towards highly automated vehicles. NXP offers sensor and processing technology that drives all aspects of the secure connected cars of today and the autonomous cars of tomorrow. Product line In-Vehicle Networking is with CAN, LIN, Flexray and Ethernet solutions, enabling communications within architectures designed for secure and hyper-connected autonomous vehicles.

Your Team

The Product Engineering –

You will be part of our product development team , Product Line, In-Vehicle Networking, in Nijmegen, Netherlands, who is working rigorously to deliver the best products to market on time while ensuring our brand's reputation for leadership in total quality at optimal cost.

As a Product Engineer ing intern , you are in a central position (a spider in the web) in the New IC Product development . You get to work with all the disciplines needed to design an IC and several external teams to prepare it for mass production . There is a lot of room for new ideas and innovations and you will be supported to have a continuous focus on development, coaching and creating a supportive environment from your team.

Your Responsibilities

• Develop and evaluate an anomaly detection approach for machine learning models to determine whether incoming data and model predictions are reliable before further processing.

• Analyze large-scale datasets to identify out-of-distribution behavior , data shifts, and inconsistencies between inputs and model outputs.

• Design and calibrate an anomaly scoring mechanism and decision thresholds, balancing detection sensitivity with practical review capacity in a production environment.

• Validate the solution using historical data, including simulation or injection of anomalous scenarios where required .

• Collaborate with cross-functional teams (e.g., engineering and data science) to define relevant anomaly types, interpret model behavior , and translate insights into practical decision-making workflows.

• Document the methodology , validation results, and recommended thresholds in a clear and structured way suitable for internship and thesis deliverables. What’s in it for you

• A great opportunity to develop your skills (technical, soft skills, communication, etc.)

• Gaining experience in a multinational and diverse environment

• Possibility to become part of NXP’s Young Professional Talent Pool

• Working on real assignments which contribute to NXP’s objectives Your P rofile

• Master’s student with major in Computer Science, Machine Learning, Data Science, Statistics, or a closely related quantitative field. Minor or additional course work in Applied Mathematics is a plus.

• Strong programming skills in Python and experience working with data analysis or machine learning workflows.

• Solid foundation in statistics, anomaly detection, out-of-distribution detection, or distribution-shift analysis.

• Comfortable translating analytical results into practical engineering decisions and collaborating with cross-functional technical stakeholders.

• Interest in semiconductor test data, production analytics, and deploying trustworthy ML solutions in an industrial setting.

• Available for an internship that can be combined with a thesis project. Duration

This is a full-time / part time internship ( 20/ 40 hours per week) with a duration of 6 months or longer. The assignment may be suitable as a thesis/graduation project.

Please note that in order to be considered for an internship/working student assignment, you need to be registered as a student during the entire period.

Creating Secure Connections and Infrastructure for a Smarter World

NXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity a