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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

19Open Positions

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  • Schülerpraktikum (all genders)

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    Found 3 months ago
  • Schülerpraktikum

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago

Associate Test Automation with AI Engineer - Internship

redbend
Found 2 weeks ago
Location
Bucharest, Romania
Time
Not disclosed
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • JavaScript
  • pytest
  • unittest

Soft Skills

  • Communication skills
  • Documentation skills
  • Responsibility
  • Attention to detail

Job Description

Join our Connectivity Test Center team to explore the frontier of AI-powered test automation. This internship focuses on leveraging Large Language Models (LLMs) and advanced prompting techniques to generate, optimize, and execute test scripts and scenarios for next-generation automotive cockpit systems. You’ll work on real-world applications that blend AI, software testing, and embedded systems, contributing to the evolution of intelligent in-vehicle experiences. This is a 6‑month internship (full‑time or part‑time) with a hybrid working model; on‑site preferred (Bucharest), depending on the testing setup and project needs.

Requirements

  • Pursuing or recently completed a degree in Computer Science, AI, Software Engineering, or related fields.
  • Hands-on experience or strong interest in working with LLMs (e.g., Copilot, ChatGPT, Claude) and prompt engineering.
  • Familiarity with test automation tools and scripting languages (Python, JavaScript, etc.).
  • Knowledge of Python-based testing frameworks like pytest or unittest to write and organize test cases.
  • Strong communication and documentation skills.
  • Comfortable using AI-assisted tools to accelerate test design, log triage, and reporting—with disciplined validation and responsible handling of data.
  • Evidence of excellence through meaningful projects (test automation, scripting, embedded labs, or tooling) and disciplined execution.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • ISTQB Certification
  • ASPICE knowledge
  • Android
  • Linux
  • Agile/SCRUM
  • Hardware experience
  • ALM
  • Cybersecurity testing
▶Apply Now

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