Working Student (f/m/d) Python & AI Automation Engineer (Quality Engineering)

About the Role

Join a forward-looking Software Quality and Automation team that is driving AI-assisted automation of engineering processes and software quality checks.

As a Working Student, you will actively contribute to building Python-based automation solutions, AI-driven validation workflows, and scalable quality frameworks that reduce manual effort and improve engineering efficiency. You will work closely with experienced engineers to apply modern techniques such as LLM-based validation, automation pipelines, and structured quality analysis in a real industrial environment.

Your Responsibilities

• Design and implement Python-based automation scripts for software quality checks and data processing

• Contribute to test automation and validation frameworks (e.g., static checks, completeness checks, rule-based validation)

• Support development of AI-assisted quality analysis workflows (e.g., LLM-based validation, structured prompt outputs)

• Build and maintain automation pipelines and workflows (e.g., using tools like n8n, scripts, or APIs)

• Develop parsers and data extraction utilities for engineering artifacts (reports, logs, configurations)

• Define and maintain automation rules and configurations (e.g., JSON, YAML)

• Support integration of automation into existing development and CI/CD environments

• Assist in debugging automation issues (scripts, pipelines, environment setup)

• Contribute to automation dashboards, reports, and quality metrics

• Document solutions and share learnings with the team

Your Profile

Education

• Currently enrolled in a Master’s program in Computer Science, Software Engineering, Data Science, AI, or similar

Technical Skills

• Initial hands-on experience in Python development (mandatory exposure)

• First experience in automation or test automation (academic projects, internships, or personal projects)

• Basic understanding of: 

• Software development practices (version control, debugging)

• APIs and data formats (JSON, XML)

• Automation workflows or scripting

Interest Areas

• Strong interest in: 

• AI-assisted software testing and GenAI applications

• Test automation frameworks and quality engineering

• Process automation and scalable validation approaches

Mindset & Capabilities

• Strong analytical and problem-solving skills

• Ability to break down complex problems into structured solutions

• Eagerness to learn modern tools (Python frameworks, AI tools, automation pipelines)

• Structured, reliable, and self-driven working style

• Good communication skills in English

Nice to Have

• Exposure to: 

• Python testing frameworks (e.g., Pytest, unittest)

• CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins)

• AI/LLM tools or prompt engineering concepts

• Basic familiarity with: 

• Linux environments or Docker

• Software quality concepts or testing processes

What You Will Learn

• How to build scalable Python automation frameworks for real-world engineering systems

• Practical application of AI/LLM techniques in software quality assurance

• Integration of automation into development workflows and CI/CD pipelines

• Hands-on experience in debugging multi-layer issues (code, tooling, infrastructure)

• Exposure to industrial software quality processes and best practices

What NXP Offers

• An attractive hourly wage of €18.90

• 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...

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