Summer Internship: AI-Based Anomaly Detection for Logical Attack Detection (m/f/d)

Are you excited about applying machine learning to real-world security problems at the intersection of AI and hardware? Join our team for a hands-on summer internship where you will help co-build a prototype for AI-based anomaly detection targeting logical attacks. This internship offers the opportunity to work close to real hardware, data, and modern machine learning pipelines in an applied innovation and development environment. What You Will Work On: As part of our innovation team, you will actively contribute to building and evaluating an AI-based Anomaly Detection prototype for Cybersecurity. Your tasks will include both experimental and software-focused activities: Data Acquisition Sample runtime and system information from development boards using a tracing probe Prepare and structure the collected data for further processing and analysis Data Pipeline & Model Development Work on the data pipeline for model training Train and evaluate anomaly detection models using an existing ML framework Analyze model performance and iterate on improvements Evaluation & Benchmarking Benchmark the developed solution against existing approaches and reference solutions Document results and contribute to performance comparisons and evaluations This internship allows you to experience how machine learning models are built, trained, and validated using data originating directly from hardware platforms. Your Profile: You are a motivated student with an interest in machine learning, security, and hardware-oriented systems, currently pursuing studies in fields such as Computer Science, Electrical Engineering, Information Security, Embedded Systems, or a related discipline. Skills that help you shine: Knowledge of machine learning frameworks Programming experience in Python Comfortable working in a Linux environment Interest in working with hardware and development boards Curiosity, analytical thinking, and a structured working style 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 EUR 2.100- gross/month for full-time equivalent at NXP Austria. 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.