Company Description

About CyberArk:
CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook.

Job Description

We’re looking for a curious, self-driven student eager to work at the intersection of offensive security research, AI, and open-source development.
If you’re passionate about crafting high-quality code, GenAI and LLMs, and excited to build and maintain tools that push the boundaries of both AI and offensive security, this role is for you.
As part of CyberArk Labs, you’ll contribute to innovative research projects, helping turn new offensive security ideas into real-world, open-source tools used by the security community.

• Develop and maintain open-source tools based on cutting-edge offensive security research, including both AI-driven and traditional approaches
• Collaborate with researchers to prototype and productize ideas from across the offensive security landscape
• Rapidly learn and experiment with new technologies, frameworks, and attack surfaces

#LI-OS1

Qualifications

What You Need to Succeed 

• Exact Science student, graduating in 3-4 semesters
• Passion for clean, maintainable code, design patterns, and thoughtful refactoring
• Willingness to dive deep into complex codebases and improve them
• Comfortable working with multiple programming languages and learning new ones

Additional Information

What Will Make You Stand Out 

• Past contributions to open-source projects, especially in security
• Proficiency in Git
• A portfolio demonstrating coding projects
• Demonstrated interest or experience in offensive security (e.g., CTFs, exploit development, red teaming)
• Familiarity with LLMs and AI fundamentals