Used Tools & Technologies
Machine LearningRequired Skills & Competences
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.
Security @ 3
Python @ 3
Algorithms @ 3
AI @ 3
- 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.
Details
NVIDIA is seeking exceptional security and privacy researchers to contribute to the development of secure, private, and safe systems. The role focuses on research that enables trustworthy AI systems by co-designing and co-optimizing across hardware and software to provide verifiable protection while maximizing performance and energy efficiency. Candidates should have research excellence, a broad perspective across the full hardware/software stack, and depth in at least one layer (computer architecture, programming languages/compilers, software systems, applied cryptography, or AI/ML algorithms).
Responsibilities
- Understand and analyze potential vulnerabilities and risks in future systems for AI and AI-based systems.
- Develop hardware, software, and algorithms 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 CE/CS/EE with a strong background in one or more of: 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.) and the ability to be a go-to resource within a multidisciplinary team.
- Strong publication and research collaboration record.
- Experience with experimental research and development.
- Experience with C, C++, Python, and/or scripting languages.
Compensation
- Internship hourly rate: 30 USD - 94 USD (standard pay based on position, location, year in school, degree, and experience).
Benefits
- Eligible for intern benefits (link provided in original posting).
Additional information
- Applications accepted at least until May 17, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and does not discriminate on the basis of legally protected characteristics.