About the Role
As part of our test development team, you will work on software engineering tasks, building and deploying ML/AI capabilities to support test data analytics, yield prediction, anomaly detection on wafer/test logs. Key Tasks: Supporting the design and implementation of an ML/AI project Preparing, cleaning, and structuring datasets using Python Conducting exploratory data analysis (EDA) Collaborating with cross-functional teams to define use cases Building structured data pipelines Training and evaluating models (e.g. classification, regression, clustering) Hyperparameter tuning and model comparison Implementing a prototype (e.g. internal tool / simple API) Supporting early-stage AI product exploration This internship gives you the chance to see your ideas come to life in real lab environments! This topic can also be offered as a potential bachelor or master thesis. Your Profile: You’re a motivated high school pupil or student currently pursuing studies in one of the following fields: Electrical Engineering, ICE/Telematics, Informatics / Computer Science, Biomedical Engineering, Automation, Computer Engineering or similar. Technical Skills: Strong Python programming skills Experience with data analysis libraries (e.g., pandas, numpy) Basic understanding of machine learning concepts Experience with scikit-learn or similar ML frameworks Familiarity with Jupyter Notebooks Understanding of statistics and data structures Soft Skills: Strong problem-solving and analytical thinking Ability to work independently and collaboratively in a multidisciplinary environment Clear communication and documentation skills Good English skills (spoken and written) Availability: Full-time for 2–3 months between June and September 2026 The minimum salary for this position is 2100,- EUR gross monthly/full-time. More information about NXP in Austria... #LI-f8ed 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.
Tech Stack
mldatapythonanalyticsapimachine learningaimobilerest