About the job
NVIDIA is seeking exceptional security and privacy researchers to contribute to the development of secure, private, and safe AI systems. Security, privacy, and safety concerns are increasingly limiting the access and use of data in AI as well as the use of AI in critical use cases. In order to enable trustworthy AI systems in the future, all layers of AI systems need to be co-designed and co-optimized to provide strong, verifiable protection while still maximizing performance and energy efficiency. We are seeking candidates that have a proven track record of research excellence, a broad perspective on security/privacy across the full hardware/software stack, and depth in one of the layers such as computer architecture, programming languages, software systems, applied cryptography, and AI/ML algorithms.
Responsibilities
Understand and analyze the potential vulnerabilities and risks in future systems for AI and AI-based systems.
Develop creative hardware, software, and algorithms to enable trustworthy AI systems with strong and verifiable security, privacy, and safety guarantees.
Collaborate with a diverse set of teams across the company, spanning software, hardware, research, and product groups.
Publish original research and speak at conferences and events.
Qualifications
Minimum
You have a Ph.D. in CE/CS/EE (or equivalent experience) with a strong background in computer architecture, operating systems, programming languages/compilers, applied cryptography, and/or AI/ML. A strong publication, patent, and research collaboration history is a huge advantage.
At least 4 years of relevant research and work experience
Demonstrated expertise in at least one specific security area (applied cryptography, programming languages, software systems , AI/ML algorithms, computer architecture, etc) with the ability to become the go-to resource within a team having varied backgrounds.
Experience with experimental research and development.
Strengths coding in C, C++, Python, and/or scripting languages.
Strong communication skills needed. Being a creative and dynamic presenter is a big advantage.
Preferred
A strong publication, patent, and research collaboration history is a huge advantage.