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

The future starts here! Ready to join NXP?

Become part ofadynamicProduct Engineeringteam that isworking on products drivingOne 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,Flexrayand Ethernet solutions, enabling communications withinarchitecturesdesigned for secure and hyper-connected autonomous vehicles.

Your Team

TheProduct Engineering–

You will be part of our product development team,Product Line, In-Vehicle Networking, in Nijmegen, Netherlands, who is working rigorouslyto 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 Engineering intern, you areina central position (a spiderinthe web) in theNew IC Product development. Youget towork with allthedisciplines needed to design an IC and several external teams to prepare it for mass production.Thereisa lot of room fornew ideasandinnovationsand you will be supported to have a continuous focus on development, coaching and creating a supportive environmentfromyour team.

Your Responsibilities

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

• Analyzelarge-scale datasets toidentifyout-of-distributionbehavior, 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 whererequired.

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

• Document themethodology, validation results, and recommended thresholds in a clear and structured way suitable for internship andthesisdeliverables.

What’sin it for you

• A great opportunityto 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

YourProfile

• Master’s studentwith major inComputer Science, Machine Learning, Data Science, Statistics,or a closely related quantitative field.Minor oradditionalcourse 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 timeinternship (20/40 hoursper week) with a duration of 6 months or longer. The assignmentmay besuitable as a thesis/graduation project.

Please note thatin order tobe 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 and edge processing solutions for a smarter world.

We are in the business ofbetter. Notjust bettertechnologies, but better innovations to improve society. As the world leader in secure connectivity and processing solutions for embedded applications, NXP is solving the world’s most complex technology challenges to accelerate business innovation, enhance how we work, and advance how we live.