Innovations in Edge & Physical AI are released at an unprecedented pace. From model optimization toolchains and AI compilers to edge-to-cloud deployment platforms, new technologies and vendors emerge every month. As a working student in EdgeAI technology scouting and evaluation, you will join the Edge AI Tooling & Methodologies team, helping us stay ahead of the curve by continuously monitoring the state-of-the-art, evaluating emerging technologies, and identifying relevant methods and tools worth enabling on NXP systems. Key responsibilities: Within the Edge AI Tooling & Methodologies team, we are looking for a candidate who is passionate about exploring the rapidly evolving Edge AI ecosystem and understanding how emerging technologies can create value for future products and solutions. You will be part of a team driving innovation in Edge AI through technology scouting, competitive analysis, and hands-on evaluation of state-of-the-art tools and platforms. Your work will involve researching emerging technologies, analyzing industry trends, evaluating competing solutions, and assessing their relevance for Edge AI deployment across embedded and edge computing environments. Your tasks will include, but are not limited to: Monitor and research state-of-the-art developments in Edge AI, including model optimization, AI compilers, and inference runtimes. Analyze and compare the capabilities of open-source frameworks, commercial offerings, and emerging tools through hands-on proof-of-concept implementations. Create technical reports, comparison studies, and technology landscape overviews for internal stakeholders. Collaborate with engineering and product teams to identify promising technologies and future innovation opportunities. undefined Preferred Skills Solid understanding of AI/ML fundamentals, including deep learning (and GenAI), model deployment, and inference workflows Strong hands-on experience with Python and ability to rapidly prototype and evaluate new technologies Familiarity with Edge AI frameworks and runtimes such as ONNXRuntime, TFlite (Lite-RT), Executorch, Llama.cpp, or similar technologies Basic knowledge of Linux, Git, and modern software development workflows Excellent written communication skills for preparing technical reports, presentations, and competitive analyses Your Profile In an early stage pursuing a Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field Available parttime 18h per week (flexible arrangement) for at least 1 year Ability to balance technical depth with a broader understanding of market and industry trends Excellent English communication skills for collaboration with our multinational team across multiple sites Enthusiastic about transforming technical discoveries into insights that support innovation and technology strategy What We Offer An attractive hourly wage of €19.40 30 vacation days per year Flexible working hours The possibility to work in a hybrid setup Access to an on-site cafeteria Networking initiatives and Employee Resource Groups such as Young Community, No Extra Planet, NXP Equal, Women in NXP, and more — fostering both professional and personal exchange Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary. More information about NXP in Germany... #LI-4da9 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.

Working Student (f/m/d) for Edge AI Technology Scouting and Evaluation.

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