Cybersecurity & AI Research Intern: Cybersecurity Benchmarking and LLM Evaluation Job Princeton New Jersey USA,IT/Tech

Cybersecurity & AI Research Intern:
Cybersecurity Benchmarking and LLM Evaluation

506526

20-Mayo-2026

Foundational Technologies

Internal Services

Temporal

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.

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.
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, Git Hub 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. Siemens may require candidates under consideration to submit information regarding citizenship status to comply with specific US Export Control laws and regulations. Additional information can be found at https://(Use the "Apply for this Job" box below)..

You’ll Benefit From

Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here:

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. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family…