Cybersecurity & AI Research Intern: AI and Software Development

Cybersecurity & AI Research Intern: AI and Software Development

506371

20-Mayo-2026

Foundational Technologies

Internal Services

Temporal

Cybersecurity & AI Research Intern: AI and Software Development

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first.

Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!

In this role you will work onsite in Princeton, NJ

Start Time & Duration: 1 June 2026/ASAP to 18 Sep 2026 (flexible start + end dates)

We are seeking a Cybersecurity Research Intern to join our team in Princeton, New Jersey, for an internship. This role is ideal for a MSc or PhD student passionate about the potential of Large Language Models (LLMs) in supporting cybersecurity, including topics such as ensuring code quality, detecting and managing vulnerabilities, risk calculation and vulnerability prioritization and generating insights across data sources and cybersecurity tools.

As an intern, you will work on state‑of‑the‑art research to address challenges and opportunities posed by current capabilities of LLM models to create and manage cybersecurity insights in the area of industrial applications and assets. As an intern, you will move beyond theoretical research to build and test state‑of‑the‑art LLM models capable of supporting cybersecurity tasks in industrial environments.

This internship is offered as an on‑site internship in our office in Princeton, NJ, USA. It is not offered as a remote position. Siemens benefits for interns include, beyond a competitive salary, relocation and housing allowances, among others (subject to eligibility).

• The challenges and responsibilities
• Engineer and refine LLM‑based agents (pure vs. domain‑enhanced) to act as autonomous cyber agents. Work on prompt engineering strategies to format network observations for optimal model reasoning.
• Design and implement Model Context Protocols (MCPs) that allow LLMs to interface securely and effectively with external security tools and environments. This includes software development tasks.
• Build data normalization pipelines to standardize events from heterogeneous sources into a unified schema.
• Define and build benchmark scenarios and evaluate agent performance against these benchmark scenarios.
• Collaborate closely with researchers and engineers across Siemens Research and Pre‑development to align research objectives with real‑world applications.
• Present findings in internal reviews and contribute to top‑tier publications or patents.

Required Knowledge/Skills, Education, and Experience

• Currently enrolled full‑time in a MSc or PhD program in cybersecurity, artificial intelligence, computer science, or a related field.
• Strong experience integrating LLMs into workflows (e.g., Lang Chain, Llama Index, or custom agents). Experience building MCP servers is a significant plus.
• Understanding of agent architectures (e.g., ReAct, Chain of Thought) and prompt engineering (formatting observations, injecting domain knowledge).
• Prior exposure to security tools such as Nessus, OpenVAS, Wazuh, Splunk, or similar.
• Understanding of common vulnerability and event log standards a significant plus.
• Proficiency in programming languages such as Python, with experience using frameworks like Tensor Flow, PyTorch, or similar tools.
• Hands‑on experience in Linux environments, including command‑line usage and shell scripting.
• Experience with professional software development tools and workflows, such as Git, Jira, or Git Lab.
• Proficiency in English both written and verbal.
• Legally authorized to work in the United States without company sponsorship for the duration of the internship.

Preferred Qualifications:

• Strong problem‑solving skills with a demonstrated ability to work on complex projects involving mathematical modeling and experimentation.
• Excellent…