Internship – Product Engineering (ML Model Development)

The future starts here! Ready to join NXP?

Become part of a dynamicProduct 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 within architectures designed 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 

• Using your knowledge of artificial intelligence and machine learning develop innovative solutionsto use withinProduct Engineering at NXP.

• You analyze semiconductortest& characterizationdata using Statistical Data Analysis Tools.

• You will be part of internal project sub-teamsand supportingexternal interfaces. You work closely with the teamleadto execute changes across functions to deliver your result on time, atoptimalquality and cost.

• Support development of NewMachine learningsolutionsto provide best in class Data analyticsto 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’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 student with major in Computer Science, Machine Learning, Data Science, or a closely related quantitative field. Additionalcourse workin 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, anddevelopingML solutions in an industrial setting.

• Available for aminimum 6 months ofinternship.

Duration  

This is a full-time internship (40 hoursper week) with a duration of 6 months or longer.  This assignment would not be suitable as a MSc 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.

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

WhatCanYouExpect?