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

• Using your knowledge of artificial intelligence and machine learning develop innovative solutions to use within Product Engineering at NXP .

• You analyze semiconductor test & characterization data using Statistical Data Analysis Tools.

• You will be part of internal project sub-teams and supporting external interfaces. You work closely with the team lead to execute changes across functions to deliver your result on time, at optimal quality and cost.

• Support development of New Machine learning solutions to provide best in class Data analytic s to the Product Engineering team.

• You support the vision of product quality by implementing the best zero-defect screening methods and by continuously searching for the best screening techniques that meet the increasing market demand.
  

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, or a closely related quantitative field . Additional course work in Electronics and/or VLSI Design is a plus.

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

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

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

• Available for a minimum 6 months of internship.
  

Duration

This is a full-time internship ( 40 hours per week) with a duration of 6 months or longer.

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 and edge processing solutions for a smarter world.

We are in the business of better . Not just better technologies, 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.

If you are as excited about this opportunity as we are, we kindly invite you to apply. After a screening based on your profile you can be expected to have a video interview with our Talent Acquisition Consultant followed by business.

What C an Y ou E xpect?