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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 Predevelopment 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., LangChain, LlamaIndex, 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 TensorFlow, 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 GitLab.
• 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 communication skills, with the ability to articulate complex technical ideas effectively

Successful candidates must be able to work with controlled technology in accordance with US Export Control Law. US Export Control laws and applicable regulations govern the distribution of strategically important technology, services and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs
What do we offer?
Our team is part of Siemens Research and Predevelopment, which is Siemens' central R&D department. The team is composed of consultants, innovators, engineers, and researchers that unite a passion about cybersecurity and securing our customers' assets and networks - in domains such as control systems used in energy utilities that are part of the nation's critical infrastructure, smart factories, building automation systems, intelligent transportation systems, healthcare, and innovative new products and solutions developed by Siemens. Our close contact to all our business units in Siemens provides the opportunity to contribute to and gain experience in real industrial applications.
Our research team is located in beautiful Princeton, NJ, a university town packed with exceptional international talent that provides a unique feel of this true cultural gem in the state. The town has plenty of activities to offer, but for those looking for more, at just about 1h drive we have NYC or Philadelphia. We have the best public schools in the country and all of the above glued together by a very active and welcoming community.
As Siemens' central Research & Development department, we embrace this community. Our core mission is to support our Siemens business units as a central knowledge hub for all cybersecurity capabilities globally. We research and develop new and innovative solutions, based on much-needed deep technical expertise, and our network with internal and external experts and academia. This allows us to invent new solutions and approaches, and verify their feasibility in the "real world" together with the product development teams of our business units - creating a stimulating setup for quick innovation cycles and rapid prototyping.
As an intern in our team, you have the opportunity to experience a professional industrial research team, and learn about the unique challenges and opportunities of a career in industrial cybersecurity.
Our Commitment to Equity and Inclusion in our Diverse Global Workforce:
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.
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You'll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $32- $47 per hour. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications and premium geographic location.
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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