Job Description

Internship Program Overview:

Our internship program provides university students with hands‑on experience in real industrial product development. Interns will work directly with senior engineers, participate in agile workflows, and contribute to real features, tools, and research activities.

The program offers specialized tracks:

Embedded Software Engineering
Automation Test Engineering

General Requirements for Students:

Currently pursuing a degree in Computer Science, Computer Engineering, Electronics Engineering, Mechatronics, or related fields.
Basic understanding of programming concepts and data structures.
Familiar with software versioning system as Git
Willingness to learn new technologies.
Good communication skills.
Passion for building real products and solving technical problems.

AUTOMATION TEST ENGINEERING ROLE

(*) Project 1: Local LLM for Code Documentation & Review

Goal: Build a secure, local LLM station for automated documentation generation and code review.
Descriptions: Deploy an open-source Large Language Model (LLM) entirely on local internal infrastructure to ensure data privacy. Develop an automated pipeline that scans the test automation codebase (Python, Robot Framework) to generate technical documentation, automatically write function docstrings, and assist engineers with automated code reviews. This will significantly reduce manual maintenance time and ensure documentation is always up-to-date

(*) Project 2: Python Framework Enhancement: Type Hints & Error Handling

Goal: Enhance the shared automation library by implementing centralized error handling and static type hints
Descriptions: Refactor shared testing libraries and utilities by adopting Python Static Type Hints (using the typing module) to improve code safety and enable better IDE autocompletion. Design and deploy a centralized exception handling mechanism that strictly categorizes failures (e.g., environment issues, target device failures, test logic errors). This will provide highly detailed execution logs, support rapid root-cause analysis, and increase the overall stability of the automation framework.

(*) Specific technical skills:

Proven ability in test case design, defect reporting, and automation scripting.
Solid programming skills in Python, with knowledge of OOP and design patterns.
Familiarity with Linux/Windows operations, version control (Git), and REST APIs.
Basic experience or strong interest in working with LLMs.
Nice to have: RobotFramework/ Pytest, Embedded systems knowledge, UI test automation (Selenium/Appium), and DevOps tools (Docker/Jenkins/Kubernetes).

(*) Specific soft skills:

Good communication to ask for support when needed.
Time management to meet deadlines.
Problem-solving skills to creatively and independently come up with solutions.
Adaptability and flexibility to adjust to changing work conditions and keep up with changing industry standards
Ability to accept feedback and to work in team

Benefits: