PhD Research Intern, Security and Privacy - 2027

at Nvidia

📍 Santa Clara, United States

USD 38-94 per hour

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 Algorithms @ 3 CUDA GPU Machine Learning Python @ 3 Security @ 8

Details

NVIDIA is seeking exceptional security and privacy researchers to contribute to the development of secure, private, and safe systems. Security, privacy, and safety concerns increasingly limit access to and use of data in AI, as well as the use of AI in critical applications. The role focuses on co-designing and co-optimizing all layers of AI systems to provide strong, verifiable protection while maximizing performance and energy efficiency.

NVIDIA has pioneered programmable GPUs and the CUDA language and is a leader in accelerated computing and AI systems. This position offers the opportunity to contribute to future system developments in a technology-focused environment.

Responsibilities

Understand and analyze potential vulnerabilities and risks in future AI and AI-based systems.
Develop creative hardware, software, and algorithmic approaches to enable trustworthy AI systems with strong and verifiable security, privacy, and safety guarantees.
Collaborate with teams across software, hardware, research, and product groups.
Publish original research and speak at conferences and events.

Requirements

Pursuing a Ph.D. in computer engineering, computer science, or electrical engineering.
Strong background in one or more of the following: computer architecture, operating systems, programming languages and compilers, applied cryptography, or AI/ML.
Demonstrated expertise in at least one security area, such as applied cryptography, programming languages, software systems, AI/ML algorithms, or computer architecture.
Ability to become a go-to resource within a team with varied backgrounds.
Strong publication and research collaboration record.
Experience with experimental research and development.
Experience with C, C++, Python, and/or scripting languages.

Benefits

Intern benefits are available.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
Applications will be accepted at least until October 18, 2026.