Cybersecurity & AI Research Intern: Cybersecurity Benchmarking and LLM Evaluation

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 30 Sep 2026 (flexible start + end dates)

We are seeking a Research Intern who is currently pursuing a PhD or MSc and is interested in evaluating open-source Large Language Models (LLMs) for cybersecurity and software engineering tasks. The intern will support ongoing research and build a test setup to quickly assess open-source models, understand their ability to identify vulnerabilities, and validate vendor claims. A key focus of this role is to improve Siemens’ representation in benchmark datasets used to evaluate frontier models. The intern will identify Siemens-relevant open-source code with known CVEs and prepare these projects for inclusion in benchmarking environments. This work will help ensure future LLMs are trained and evaluated on scenarios more relevant to Siemens use cases.

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

• Support existing research activities related to evaluating open-source LLMs for cybersecurity and software engineering tasks.
• Identify Siemens-relevant open-source codebases that contain known CVEs and are suitable for benchmark development.
• Prepare selected projects for inclusion in cybersecurity benchmarking environments, including setting up test images, formatting source code, and organizing patches.
• Contribute benchmark-ready assets that can be incorporated into platforms such as cybersecurity and software engineering evaluation suites.
• Help ensure that future model evaluations better reflect Siemens-relevant code and practical industrial use cases.
• Document findings, experimental setup, and results clearly for internal use and future research activities.
• Present status reports and results in internal reviews and contribute to publications.

Required Knowledge/Skills, Education, and Experience.

• Currently enrolled full-time as MSc or PhD candidate in Cybersecurity, Computer Science, Software Engineering, or a related field. PhD is preferred.
• Strong understanding of Common Vulnerabilities and Exposures (CVEs), vulnerability management workflows, and software security testing.
• Experience analyzing, reproducing, and validating vulnerabilities in open-source software projects.
• Proficiency in programming languages such as Python, C/C++, Java, or JavaScript, with the ability to work across diverse codebases.
• Experience with Linux environments, shell scripting, Git, Docker, and virtualized or containerized test setups.
• Familiarity with software build systems, package managers, and CI/CD workflows used to build and test applications.
• Experience using security and dependency analysis tools such as CVE databases, NVD, GitHub Security Advisories, Snyk, OSV, or similar resources.
• 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 analytical, problem-solving, and technical communication skills.
• Experience with open-source LLM tooling or evaluation frameworks
• Familiarity with benchmarking, test harnesses, and frameworks for software engineering or cybersecurity evaluation is a plus.

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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