Orchid Security–Security Researcher

About The Position

With $36M seed funding, led by Team8 and IntelVC, customers from Fortune 500 companies, including Costco and Repsol, Orchid Security is already on an exciting journey to deliver the next infrastructure layer in the security space. Behind our platform stands advanced technologies such as Large Language Models (LLMs) allowing Orchid to deliver unprecedented insight and action for enterprise’s identity security. 

This is a rare opportunity to join Orchid at an early stage and make a meaningful impact on our success. We’re looking for brilliant, curious, creative, and fun-loving individuals to join our dynamic team and help us shape the future of security technology.

You will be key in finding and developing novel methods to analyze and integrate with complex software using advanced techniques and AI models. This is a unique opportunity to work on novel research and code analysis techniques, diving deep into the core of customer systems and implementing transformative changes at scale.

Your role will include:

• Characterize solutions (from research to production) for supporting and extending our functionality for new customers’ applications and environments, which are constantly added to our product.
• Collaborate with the agent development team to integrate code analysis models into the product.
• Optimize code analysis models and techniques to enhance their accuracy and effectiveness.

Requirements:

• 5+ years of hands-on experience with security research and/or low-level coding.
• Experience with Python and C++ (or any equivalent OOP-based language.)
• Experience with OS internals or networking.
• Ability to operate in a fast-paced startup environment, work under pressure, and handle urgent incidents.
• Ability to work independently and in a team-oriented, collaborative environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

Advantages:

• Previous experience working for an early-stage startup company.
• Experience with code/runtime analysis (static or dynamic.)
• Experience with AI/LLM (whether for optimizing research or as a research target.)