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What you'll be doing:
Lead, research, design, develop and implement solutions for next-generation secure networks.
Develop novel introspection, memory forensics, and file system methods to extract critical security events towards threat detection.
Collaborate with external and internal hardware and software research teams to apply extracted events for advanced malware detection.
Architectural modeling, validation, microarchitectural definition, and developing proof-of-concepts secure platforms.
What we need to see:
MSc or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
5+ years of relevant experience in memory forensics, introspection, operating systems, and file systems as well as common malware patterns and mitigation techniques.
Programming and debugging fundamentals across languages such as Python, and C/C++.
Strong communication skills and a genuine passion for working together as a team are vital.
Ways to stand out from the crowd:
Demonstrated security research experience and publications in top security conferences.
Experience with high-scale deployment challenges, networking, and machine learning.
Architectural background in hardware and software systems codesign.
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