Magnet.me  -  Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Internship/Thesis – Signal Processing and AI for autonomous driving

Geplaatst 16 okt. 2026
Delen:
Werkervaring
0 tot 2 jaar
Full-time / part-time
Full-time
Functie
Opleidingsniveau
Taalvereiste
Engels (Vloeiend)

Bouw aan je carrière op Magnet.me

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The future starts here! Ready to join NXP? The Innovation team is currently looking for a highly motivated student for an Internship/Thesis – Signal Processing and AI for autonomous driving.

Become part of the startup of a dynamic team in Innovation working on next-generation radars, autonomous driving, robotics and AI. 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 for your team.

  • Eindhoven

Your Team

The Innovation team shapes new exciting technologies that create future business for NXP. The team currently works on signal processing and machine learning methods for next-generation radars, autonomous driving, and robotics.

We are currently looking for a highly motivated student for a 9-12 month internship/thesis.

Your Responsibilities

  • Development of new algorithms (signal processing/ML) for specific use cases like object detection and navigation in autonomous driving and robotics.
  • Working with an international team of scientists and engineers.
  • Support in data collection needed for algorithm validation.
  • Validation of developed methods in simulation platforms and/or real hardware prototypes.
  • Dissemination of scientific results in top-tier publications.

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 Profile

  • Enrolled in a Master of Science in electrical engineering, robotics, data science or equivalent.
  • Strong experience in Python programming and ML model development.
  • Experience with hardware is a plus.
  • Familiarity/experience with Nvidia Sim and ROS is a plus.
  • Strong communication skills (presentations, reading and writing technical papers).

Duration

This is a full-time internship/thesis (40 hours per week) with a duration of 9 months or longer. The assignment could also 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.

What Can You Expect?

Development opportunities: We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we provide you with a mix of learning through on-the-job experiences, learning from industries bests, and learning through education to help you develop your core and professional skills.

Our offices: The Netherlands is home to our global headquarters (Eindhoven) along with two additional sites (Nijmegen, Delft) and includes a diverse team of over 2000 employees with 51 different nationalities focused on R&D, manufacturing, product development, business operations, legal and sales.

And more: Life at NXP is more than work alone. Join one of the many social activities that are organized by and for employees in the Netherlands, such as our Christmas parties and International Walking Day. We have a YOUNG community that organizes a mix of social and professional events for our young professionals and an active Women in NXP. We also take time to give back to our communities by engaging young girls to learn about Technology during Girls Day or participating in several volunteering activities.

NXP Semiconductors is a semiconductor company developing solutions for automotive, industrial & IoT, mobile and communications infrastructure markets. It provides technologies in areas such as edge AI, connectivity, security, electrification and embedded processing to help make the connected world better, safer and more secure.

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