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

Auf Jobportal gelistet am 05. Nov. 2026

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DE63 NXP Semiconductors Germany GmbH

München

EnglischWerkstudentTeilzeitWerkstudentDeutsch nicht nötig

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19 €/Std.

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Über diese Stelle

locations Munich

time type Part time

posted on Posted Today

job requisition id R-10065447

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.

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

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

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

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...

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Eckdaten der Stelle

Arbeitgeber: DE63 NXP Semiconductors Germany GmbH
Position: Working Student (f/m/d) for Edge AI Technology Scouting and Evaluation
Stadt: München
Arbeitsmodell: nicht angegeben
Sprache: Englisch
Erfahrungsstufe: Werkstudent
Auf Jobportal gelistet: 05. Nov. 2026
Quelle: XING

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

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