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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