NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's fueled by great technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is motivated to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking an experienced Malware Research Architect who can design and implement advanced malware detection systems using Virtual Machine Introspection (VMI) techniques. The ideal candidate should have deep expertise in developing out-of-VM security solutions that can detect and analyze sophisticated malware, rootkits, and other cyber threats by introspecting and reconstructing volatile memory states of guest operating systems and file system states. Strong knowledge of file systems, and hypervisor technologies is essential. The candidate will craft automated malware detection systems that use VMI and file system techniques to predict early signs of malware execution and accurately classify unknown threats.
What you'll be doing:
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Lead, research, design, develop and implement solutions for next-generation secure networks.
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Develop novel introspection, memory forensics, and file system methods to extract critical security events towards threat detection.
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Collaborate with external and internal hardware and software research teams to apply extracted events for advanced malware detection.
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Architectural modeling, validation, microarchitectural definition, and developing proof-of-concepts secure platforms.
What we need to see:
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MSc or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
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5+ years of relevant experience in memory forensics, introspection, operating systems, and file systems as well as common malware patterns and mitigation techniques.
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Programming and debugging fundamentals across languages such as Python, and C/C++.
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Strong communication skills and a genuine passion for working together as a team are vital.
Ways to stand out from the crowd:
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Demonstrated security research experience and publications in top security conferences.
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Experience with high-scale deployment challenges, networking, and machine learning.
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Architectural background in hardware and software systems codesign.
