ApplySarthi

PhD Research Intern, Security and Privacy - 2027

Nvidia

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What research roles keep asking for: Python (30%), Machine learning (27%), PyTorch (15%), LLMs (14%) — counted across their open postings here.

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  1. Why do you want to join Nvidia?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. Walk me through how code gets from a commit to production where you work.
  4. Tell me about an outage you handled. What did you learn from it?
  5. How do you decide what to monitor, and what should wake someone up at night?

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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 go-to resource within a team having varied backgrounds. Strong publication and research collaboration records. Experience with experimental research and development. Experience with C, C++, Python, and/or scripting languages. NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most hardworking, resourceful and dedicated people in the world working for us. Are you a creative and collaborative security researcher who loves the challenge of exploring and crafting techniques that will impact our future products? If so, we want to hear from you! Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD. You will also be eligible for Intern benefits . ​ Applications for this job will be accepted at least until October 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Listed on workday · posted 2026-10-15. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.