About this role
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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