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.

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

Requirements

• 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
• 3 0 vacation days per year
• Flexible working hours
• T he 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...
• #LI-4da9

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