Do you have an interest in embedded machine learning aspects and would like to practice your academic knowledge in a multinational organization?
 

The Product Lines Radar Processing and Audio Processing are enabling the car to sense its environment for advanced driver assistance toward autonomous driving and zero road fatalities and supporting the entire automotive chain from antenna to speakers. In this exciting role, you will be challenged by taking your part in the future of Automotive Electronics.

Who are we

We are a team of 20 engineers located in Nijmegen. You will be cooperating closely with the members of our AI/ML and Industrial engineering competence team.

Background 

Checking whether an IC complies with its specifications after the manufacturing process is an essential task to guarantee the quality of devices shipped to the customer. Currently product specification validation is only possible on the bench, whereas in an industrial environment we screen only deviating devices based on certain thresholds. As a result, we have a limited visibility on essential circuit datasheet specifications. 

Objective 

We aim to predict product specification (Output Power, Phase Noise,..) during industrial ATE (Automated Test Equipment) testing using supervised machine learning models and the available structural tests (ATB, RINGO, Leakage,..) as features. This Master thesis explores the topic of machine learning in an industrial testing environment and its limitations. The focus will be on exploring machine learning approaches to predict the product specification in a reliable and robust way under different circumstances. Production and qualification data will be available for the interested student to perform the following tasks: 

• Explore the different Feature Selection / Feature Engineering techniques 

• Explore the use of Non-Linear regression models 

• Explore the use of multiple test stages (Wafer test, final test,..) to improve the model 

• Model monitoring  

What's in it for you

• Ability 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

• Master student in Electrical / Computer Engineering or related field

• Some affinity with complex designs

• Background in signal processing, machine learning, and preferably hardware testing.  

• Experience in Python/R programming.  

• Strong motivation in working in an R&D environment. 

• Affinity and knowledge of AI / ML methods

• A basic level of analysis capabilities in the field of IC design with concepts on power and thermal aspects

• Eagerness to learn new tools

• Good communication skills in English (both verbal and written)

• Pro-active, high energy, open-minded, eagerness to learn

Duration

2 days a week (16 hours per week) for a duration of a minimum of 3 months. Please note that in order to be considered for an internship/working student, 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 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.

Hiring process: Applying only takes a minute! Fill in the online application and share your CV with us. After a positive screening based on your CV you will have an initial video conversation with our Talent Acquisition Consultant followed by several business interviews. Here are some useful tips to help you prepare. 

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.
 

What’s Next?

If you’re excited about this opportunity, we kindly invite you to apply! If you have any questions, we are happy to answer them. Please contact, Chanchal Sharma, Talent Acquisition Specialist on chanchal.sharma_1@nxp.com

More information about NXP in the Netherlands...