NVIDIA

AI

PhDResearchIntern,SecurityandPrivacy-Fall2026

$0–0k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“PhD Research Intern, Security and Privacy - Fall 2026 at NVIDIA. Skills: Security, Privacy, AI/ML algorithms, Computer architecture, Programming languages, Software systems, Applied cryptography. 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 and verifiable security, privacy, and safety guarantees”

What You'll Achieve.

Contribute to the development of secure, private, and safe systems; Enable trustworthy AI systems in the future; Provide strong, verifiable protection while still maximizing performance and energy efficiency; Have a real impact in a dynamic, technology-focused company

Industry & Context.

AI
Problems you'll solve

Analyze potential vulnerabilities and risks

What They're Looking For.

Must Have

Pursuing a Ph. D. in CE/CS/EE with a background in computer architecture, operating systems, programming languages/compilers, applied cryptography, and/or AI/ML, Demonstrated expertise in at least one specific security area (applied cryptography, programming languages, software systems, AI/ML algorithms, computer architecture, etc), Publication and research collaboration records, Experience with experimental research and development, Experience with C, C++, Python, and/or scripting languages

Nice to Have

Ability to become the go-to resource within a team having varied backgrounds

What You'll Do.

Understand and analyze the potential vulnerabilities and risks in future systems for AI and AI-based systems

Develop creative hardware

and algorithms to enable trustworthy AI systems with and verifiable security

and safety guarantees

Publish original research and speak at conferences and events

How You'll Work.

Team & Collaboration

Collaborate with a diverse set of teams across the company, spanning software, hardware, research, and product groups

Communication Scope

Speak at conferences and events

Full Job Description

NVIDIA is seeking exceptional security and privacy researchers to contribute to the development of secure, private, and safe systems. In particular, 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. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in accelerated computing and AI systems, with aggressive plans for future system developments. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company. **What you 'll be doing:** * 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. **What we need to see:** * You are pursuing a Ph.D. in CE/CS/EE with a strong background in computer architecture, operating systems, programming. languages/compilers, applied cryptography, and/or AI/ML. * 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

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