Malware Researcher (Remote)
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Before you apply
LocationEurope
Work moderemote
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentSoftware Development
Company size51–200 people
PostedFeb 9, 2026 · 9mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Feb 9, 202678% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
5+ years of experience in malware analysis, reverse engineering, or threat research
Knowledge of 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
OSINT and dark web research capabilities
Skills
C
C++
Benefits
Remote stipend
About Us
Cracken is an applied AI lab building world’s first full kill chain proactive cyber platform. Built by cyber warfare-experienced operators and AI researchers Cracken keeps digital infrastructure resilient so businesses and societies operate.
We are expanding globally and seeking a talented Malware Researcher to strengthen our threat intelligence capabilities and enhance our AI Agent’s understanding of the evolving malware landscape.
What You’ll Do
Malware Research & Analysis:
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Perform static and dynamic analysis of malware samples ranging from commodity threats to sophisticated APT campaigns
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Conduct reverse engineering of malicious binaries, scripts, and documents using industry-standard tools
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Research emerging malware families, attack techniques, and evasion mechanisms (including polymorphic malware)
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Track threat actor TTPs and map findings to frameworks like MITRE ATT&CK
Detection & Automation:
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Build AI-based automation tools and pipelines for large-scale malware processing and analysis
AI Integration & Research:
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Collaborate with AI engineers to integrate malware intelligence into Cracken’s agentic framework
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Help develop automated malware analysis capabilities within our AI Agent
Intelligence Production:
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Produce comprehensive technical reports and threat assessments
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Be active in the offensive AI community, sharing insights and staying ahead of adversarial techniques
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Present findings to internal stakeholders and contribute to product development
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Monitor threat landscape trends and provide strategic threat intelligence insights
Required Skills
Technical Expertise:
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5+ years of experience in malware analysis, reverse engineering, or threat research
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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
Security Knowledge:
•
Solid understanding of malware techniques: persistence mechanisms, polymorphic malware, C2 communications, evasion tactics
•
Knowledge of cryptographic algorithms commonly used by malware
Nice to Have:
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Experience with agentic AI in cybersecurity
•
OSINT and dark web research capabilities
Why Cracken?
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Real-world impact: Our technology is validated in nation-state operations and grounded in hands-on internal research
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Team with a mission: Ukrainian-heavy international team of PhDs, professors, and top-tier industry veterans, driven by intrinsic motivation shaped by real-world adversity
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Adaptive roles: We shape roles around exceptional talent — your ownership and drive will define your path
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Perfect timing: Operating at the intersection of AI, cybersecurity, and autonomous systems, Cracken is uniquely positioned to win against sophisticated adversaries
What we offer
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Ownership over a core cybersecurity product
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Direct collaboration with founders and elite cyber operators
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High autonomy and real impact on product direction
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Fully remote & flexible work setup
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Competitive compensation