Intern (f/m/d) AI Automation for Safety Engineering

NXP Semiconductors NV

München

Hybrid

EUR 13,000 - 21,000

Part time

2 days ago
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Benefits offered by this job

Hybrid work setup
Flexible working hours
On-site cafeteria

Job summary

NXP Semiconductors NV in Munich, Germany is offering a student internship to explore AI-powered engineering workflows. You will work with safety, AI, and software teams on automation, data processing, and document generation projects.

The program targets MSc students in relevant fields, with interest in Generative AI, LLMs, and automation. Hybrid work and potential thesis or career opportunities are available.

Qualifications

  • Pursuing an M.Sc. in CS, SE, AI, DS, EE or related field.
  • Interest in Generative AI and engineering automation.
  • Familiarity with software development and AI-assisted workflows.
  • Strong Python programming demonstrated.

Responsibilities

  • Develop AI-based solutions to automate engineering and documentation workflows.
  • Test tools for generating and maintaining safety-related work products.
  • Apply LLMs and Generative AI to requirements, analyses, and technical documentation.
  • Develop scripts and applications for data processing, document generation, and workflow automation.
  • Support the integration of AI tools into existing engineering processes.
  • Evaluate and improve the quality, consistency, and traceability of AI-generated outputs.

Skills

Python
Pandas
NumPy
Machine Learning basics
LLMs
APIs
Git
Data wrangling

Education

M.Sc. student in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electrical Engineering, or related field

Tools

Pandas
NumPy
Git
APIs
Automation frameworks

Job description

Are you passionate about Artificial Intelligence and eager to apply the latest AI technologies to real engineering challenges? At NXP, we are exploring how Generative AI and Large Language Models can revolutionize the way engineers create, manage, and maintain technical documentation and development processes.

As a student in our team, you will gain hands-on experience working with AI-powered solutions, software automation, and engineering workflows in a global semiconductor company. You will have the opportunity to collaborate with experts in safety engineering, AI, and software development while helping shape the future of intelligent engineering tools.

This position is ideal for students who want to combine their interest in AI, programming, and automation with meaningful industry experience and the possibility of future thesis or career opportunities.

Your Tasks
  • Develop AI-based solutions to automate engineering and documentation workflows.
  • Test tools for generating and maintaining safety-related work products.
  • Apply Large Language Models (LLMs) and Generative AI to requirements, analyses, and technical documentation.
  • Develop scripts and applications for data processing, document generation, and workflow automation.
  • Support the integration of AI tools into existing engineering processes.
  • Evaluate and improve the quality, consistency, and traceability of AI-generated outputs.
Preferred Background
  • M.Sc. student in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electrical Engineering, or a related field.
  • Interest in Generative AI, Large Language Models, and engineering automation.
  • Familiarity with software development and AI-assisted workflows.
Required Technical Skills
  • Strong programming skills in Python.
  • Experience with data processing libraries such as Pandas and NumPy.
  • Basic knowledge of Machine Learning and Large Language Models (LLMs).
  • Experience with APIs and automation frameworks.
  • Familiarity with Git and collaborative software development practices.
  • Ability to work with structured and unstructured data.
Nice-to-Have Skills
  • Experience with Microsoft Copilot, OpenAI, Azure AI, or similar AI platforms.
  • Knowledge of Retrieval-Augmented Generation (RAG) concepts.
  • Experience with document automation (Word, Excel, PowerPoint).
  • Knowledge of knowledge graphs, vector databases, or semantic search technologies.
What We Offer
  • Collaboration with experts in safety, AI, and semiconductor development.
  • Potential Master Thesis topic and long-term career opportunities.
  • An attractive monthly compensation
  • Flexible working hours
  • The possibility to work in a hybrid setup
  • 2.5 days of vacation per month incase of voluntary internshipAccess 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.

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