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Tier-1 employer, metro locations, and mid-level demand increase applicant competition moderately.
Malware reverse engineering and detection engineering are highly domain-specific and not easily transferable across industries.
Explicit 4–7 years plus mandatory reverse-engineering, YARA, and tooling skills create strict filtering.
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Perform static and dynamic malware analysis to uncover and mitigate emerging threats and attacker tactics.
Develop complex automation tools, detection signatures, and workflows integrating research into security products.
Validate AI/ML threat model outputs and contribute to the security community with published research and blogs.
4 to 7 years in Cyber Security Research with strong reverse engineering and debugging skills (e.g., IDA Pro, x64dbg).
Proficient with Windows internals, web app security, malware types, and network protocols (TCP/IP, OWASP).
Experience building detection signatures using IDS/IPS and YARA for threat tracking.
Strong programming skills in Python, Shell, Perl, or Ruby for automation tooling.
Experienced in leveraging AI technologies and automation to scale threat research and analyze malicious AI agents.
Capable of operating across strategy and execution to own complex problem-solving in ambiguous environments.
Background aligns with advanced cybersecurity research roles involving malware analysis and threat detection integration.