Siemens

Cybersecurity & AI Research Intern: AI and Software Development

Princeton, NJ, US$66,560-$97,760Posted 1 month ago

Job Description

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-e...

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