Security Research Intern (2027 Masters/PhD)

Posted 2 Days Ago
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Sunnyvale, CA, USA
In-Office
Internship
Artificial Intelligence • Hardware • Software • Cybersecurity
The Role
Conduct graduate-level research on cyber attack and defense, focusing on threat detection. Study adversary behavior, develop detection logic and research tooling, and convert research problems into working prototypes for a security platform. Collaborate with security researchers and engineers while applying expertise in malware, network traffic, vulnerability exploitation, threat hunting, reverse engineering, offensive security, machine learning, and penetration testing.
Summary Generated by Built In
Your Impact

Join a small team building the next generation of Cyber Security products from the ground up. Led by industry veterans with a proven track record of success - you will get to architect, build, and deliver hugely impactful products with this world class team. You will have the opportunity to grow your career and skills along with the company from the very start.

Role Overview

As a graduate level research intern in cyber attack and defense, you will take on a focused research problem in threat detection to working prototype on our next-gen security platform. You will study how modern adversaries operate, translate that understanding into detection logic and research tooling, and work directly with the researchers and engineers building the platform. This role offers the opportunity to see academic research meet production security at an early-stage company.

Required Experience
  • Currently enrolled in a Master's or Ph.D. program in Computer Science, System/Network Security, or a related technical field, with an expected graduation date by 2028

  • Coursework, research, or project experience in one or more of the following: cyber security, malware, network traffic, web and vulnerability exploitation, large-scale data analysis, or machine learning

  • Hands-on familiarity with one or more of the following areas: threat hunting, malware analysis and sandboxing, vulnerability analysis, reverse engineering, offensive security, machine learning, or penetration tests

  • Working understanding of modern attacks and evasion techniques, malware behaviors and countermeasures, the MITRE ATT&CK framework, and cyber kill chain/TTPs is a plus

  • Strong proficiency in Python programming and system programming with C/C++/Rust/Go is a big plus

  • Great passion for security research; strong communication and documentation skills

We’re committed to building a diverse, inclusive workplace where everyone can do their best work. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. If you require a reasonable accommodation during the application or interview process, please let us know — we’re happy to support you.

Skills Required

  • Currently enrolled in a Master's or Ph.D. program in Computer Science, System or Network Security, or a related technical field, with expected graduation by 2028
  • Coursework, research, or project experience in cybersecurity, malware, network traffic, web and vulnerability exploitation, large-scale data analysis, or machine learning
  • Hands-on familiarity with threat hunting, malware analysis and sandboxing, vulnerability analysis, reverse engineering, offensive security, machine learning, or penetration testing
  • Working understanding of modern attacks, evasion techniques, malware behaviors and countermeasures, MITRE ATT&CK, and cyber kill chain/TTPs
  • Strong proficiency in Python programming
  • System programming experience with C, C++, Rust, or Go
  • Passion for security research and strong communication and documentation skills
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The Company
32 Employees
Year Founded: 2026

What We Do

Cylake is developing a complete, AI-native, data-driven cybersecurity platform for regulated organizations that require operational and data sovereignty. Designed to run on-premises or in private clouds, its system combines hardware and software to provide end-to-end protection. The platform analyzes an organization’s data and operations, delivering deep visibility and agentic security without relying on public cloud or public AI infrastructure for sensitive environments.

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