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What you'll be doing:
Conduct research on symbolic execution techniques and apply them to existing NVIDIA products.
Investigate and perform formal analysis of code used in secure environments.
Collaborate with NVIDIA researchers to explore innovative approaches for enhancing security in ARM TrustZone and other TEEs.
Contribute to projects that have potential real-world impact on NVIDIA's product portfolio.
What we need to see:
Current enrollment in a PhD program in Cybersecurity, Computer Science, or a related field.
A strong research background with publications in top-tier security conferences.
Experience with symbolic execution tools or frameworks.
Familiarity with ARM TrustZone or other TEEs.
Solid programming skills and a deep understanding of secure system design.
Ways to stand out from the crowd:
Expertise with symbolic or concolic execution frameworks such as angr.
Deep architectural knowledge of at least two TEEs.
Understanding of common attack vectors targeting TEEs and methods to mitigate them.
A demonstrated ability to translate sophisticated research into practical solutions.
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