AI Security Test Engineer Intern

About the role

The intern will develop AI‑powered automation tools to enhance security testing and validation for automotive systems. The work focuses on building intelligent fuzzing frameworks, generating security‑focused test cases, and automating report creation using existing AI models.

Key responsibilities

• Support AI‑based interface fuzzing activity, including data preparation, test environment setup, and anomaly documentation.
• Develop AI‑driven tooling to generate security‑focused test cases from requirements and identify gaps in existing test libraries.
• Create an AI‑powered report generation tool that transforms raw test data into clear, compliance‑ready documentation.
• Build an AI/LLM engine that automatically produces project‑specific Security & Privacy test strategies from system artifacts.

Required profile

• Currently pursuing a Bachelor’s degree in Computer Science, Information Technology or a related engineering discipline.
• Academic exposure to AI/ML, data structures, algorithms, software testing or cybersecurity is highly advantageous.
• Previous project or hands‑on experience with machine learning, automation scripting or security‑focused assignments is a plus.

Required skills

• AI/ML model development and fine‑tuning.
• Automation scripting and workflow orchestration.
• Data preprocessing pipelines for large traffic datasets.
• LLM/NLP techniques for extracting security requirements.