The company is seeking a security researcher to deconstruct complex threats and build the next generation of intelligent defense systems, specifically focusing on malware reverse engineering and leveraging generative AI, LLMs, and agentic systems for automated detection and response.
Requirements
- Extensive, hands-on experience in reverse engineering using tools like IDA Pro, Ghidra, x64dbg, etc.
- Proficiency in one or more programming languages (e.g., Python, Go, C++).
- Proven experience applying Generative AI, Large Language Models (LLMs), and modern machine learning techniques to solve complex security problem is a plus
Responsibilities
- Perform in-depth static and dynamic analysis of malicious code by reverse engineering complex binaries (x86/x64, ARM, etc.).
- Uncover novel malware techniques, extract indicators of compromise (IOCs), and develop robust signatures and behavioral detections.
- Design, build, and deploy innovative security solutions leveraging Generative AI and agentic systems.
- Develop intelligent agents and workflows to automate threat hunting, accelerate malware analysis, and streamline incident response processes.
- Disseminate cutting-edge research findings and contribute to the security community by publishing results in technical blogs, industry white papers, and academic papers, particularly on topics related to malware analysis and AI in security.
- Work closely with cross-functional teams, including security researchers, engineers and product teams, to integrate your findings in reversing to product PoC and threat research.
Other
- BS/MS/PhD degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience.
- 4+ years of experience in a technical security role, with a strong emphasis on malware analysis, exploit development, or threat research.
- A proven track of top tier publications in cybersecurity related areas is a plus.
