Malware Researcher

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CrackenAGI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

CrackenAGI is an innovative company focused on enhancing cybersecurity through the use of AI-powered copilot agents. These agents are designed to scale cyber research efforts, offer customizable autonomy for independent or collaborative tasks, and provide detailed tracking and observation of operations. By enabling users to guide the agents with feedback, CrackenAGI aims to continuously refine their performance, ensuring effective and reliable cybersecurity solutions.

📋 Description

• Perform static and dynamic analysis of malware samples ranging from commodity threats to sophisticated APT campaigns • Conduct reverse engineering of malicious binaries, scripts, and documents using industry-standard tools • Research emerging malware families, attack techniques, and evasion mechanisms (including polymorphic malware) • Track threat actor TTPs and map findings to frameworks like MITRE ATT&CK • Build AI-based automation tools and pipelines for large-scale malware processing and analysis • Collaborate with AI engineers to integrate malware intelligence into Cracken's agentic framework • Help develop automated malware analysis capabilities within our AI Agent • Produce comprehensive technical reports and threat assessments • Be active in the offensive AI community, sharing insights and staying ahead of adversarial techniques • Present findings to internal stakeholders and contribute to product development • Monitor threat landscape trends and provide strategic threat intelligence insights

🎯 Requirements

• 5+ years of experience in malware analysis, reverse engineering, or threat research • Knowledge programming languages (C/C++) • Understanding of various operating systems internals (Windows, Linux, macOS, etc.), file systems, processes • Mobile malware analysis experience • Experience with virtualization and sandboxing environments for dynamic analysis • Solid understanding of malware techniques: persistence mechanisms, polymorphic malware, C2 communications, evasion tactics • Knowledge of cryptographic algorithms commonly used by malware • Experience with agentic AI in cybersecurity (Nice to Have) • OSINT and dark web research capabilities (Nice to Have)

🏖️ Benefits

• Ownership over a core cybersecurity product • Direct collaboration with founders and elite cyber operators • High autonomy and real impact on product direction • Fully remote & flexible work setup • Competitive compensation