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

Nijmegen, Gelderland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

19 Sep, 26

Salary

0.0

Posted On

21 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Data Analysis, Anomaly Detection, Out-of-distribution Detection, Distribution-shift Analysis, Statistics, Applied Mathematics, Product Engineering, Data Science

Industry

Semiconductor Manufacturing

Description

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 Engineering 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 Develop and evaluate an anomaly detection approach for machine learning models to determine whether incoming data and model predictions are reliable before further processing. Analyze large-scale datasets to identify out-of-distribution behavior, 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 where required. Collaborate with cross-functional teams (e.g., engineering and data science) to define relevant anomaly types, interpret model behavior, and translate insights into practical decision-making workflows. Document the methodology, validation results, and recommended thresholds in a clear and structured way suitable for internship and thesis deliverables. 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 Master’s student with major in Computer Science, Machine Learning, Data Science, Statistics, or a closely related quantitative field. Minor or additional course 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 time internship (20/40 hours per week) with a duration of 6 months or longer. The assignment may 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. 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. More information about NXP in the Netherlands... #LI-9c8e NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com Bright Minds. Bright Futures. 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 offer online and offline learning opportunities to help you develop some of your core and professional skills. Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality. Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips. Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page. Thank you for your interest in supporting our recruitment efforts. Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise. Thank you for your understanding.

Responsibilities

Develop and evaluate anomaly detection approaches for machine learning models to ensure data and prediction reliability. Analyze large-scale datasets to identify data shifts and collaborate with cross-functional teams to translate insights into engineering workflows.