Job Family: Research & Predevelopment
Req ID: 506526
Cybersecurity & AI ResearchIntern: 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 Sep2026 (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
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Supportexisting research activities related to evaluating open-source LLMs forcybersecurity and software engineering tasks.
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IdentifySiemens-relevant open-source codebases that contain known CVEs and aresuitable for benchmark development.
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Prepareselected projects for inclusion in cybersecurity benchmarkingenvironments, including setting up test images, formatting source code,and organizing patches.
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Contributebenchmark-ready assets that can be incorporated into platforms such ascybersecurity and software engineering evaluation suites.
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Helpensure that future model evaluations better reflect Siemens-relevant codeand practical industrial use cases.
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Documentfindings, experimental setup, and results clearly for internal use andfuture research activities.
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Presentstatus reports and results in internal reviews and contribute topublications.
Required Knowledge/Skills, Education, and Experience.
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Currentlyenrolled full-time as MSc or PhD candidate in Cybersecurity, ComputerScience, Software Engineering, or a related field. PhD is preferred.
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Strongunderstanding of Common Vulnerabilities and Exposures (CVEs),vulnerability management workflows, and software security testing.
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Experienceanalyzing, reproducing, and validating vulnerabilities in open-sourcesoftware projects.
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Proficiencyin programming languages such as Python, C/C++, Java, or JavaScript, withthe ability to work across diverse codebases.
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Experiencewith Linux environments, shell scripting, Git, Docker, and virtualized orcontainerized test setups.
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Familiaritywith software build systems, package managers, and CI/CD workflows used tobuild and test applications.
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Experienceusing security and dependency analysis tools such as CVE databases, NVD,GitHub Security Advisories, Snyk, OSV, or similar resources.
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Proficiencyin English both written and verbal
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Legallyauthorized to work in the United States without company sponsorship forthe duration of the internship
Preferred Qualifications:
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Stronganalytical, problem-solving, and technical communication skills.
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Experiencewith open-source LLM tooling or evaluation frameworks
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Familiaritywith benchmarking, test harnesses, and frameworks for software engineeringor 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.
#LI-JS
#LI-Onsite
$32-$47
Organization: Foundational Technologies
Job Type: Full-time
Category: Internal Services
