Used Tools & Technologies
Not specified
Required 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 @ 4
Python @ 7
Algorithms @ 4
Communication @ 1
- 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
We are seeking exceptional security and privacy researchers to contribute to the development of secure, private, and safe AI systems. The role focuses on co-designing and co-optimizing all layers of AI systems (hardware and software) to provide strong, verifiable protection while maximizing performance and energy efficiency. Candidates should have a proven track record of research excellence and depth in one of the layers such as computer architecture, programming languages, software systems, applied cryptography, or AI/ML algorithms.
NVIDIA is a leader in accelerated computing and AI systems. This position offers the opportunity to have real impact across hardware, software, research, and product teams.
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 diverse teams across software, hardware, research, and product groups.
- Publish original research and speak at conferences and events.
Requirements
- Ph.D. in Computer Engineering / Computer Science / Electrical Engineering (or equivalent experience).
- At least 4 years of relevant research and work experience.
- Demonstrated expertise in at least one specific security area (examples listed in the posting): applied cryptography, programming languages, software systems, AI/ML algorithms, computer architecture, etc., with the ability to be the go-to resource within a multidisciplinary team.
- Experience with experimental research and development.
- Strong coding skills in C, C++, Python, and/or scripting languages.
- Strong communication skills; being a creative and dynamic presenter is an advantage.
- A strong publication, patent, and research collaboration history is a significant advantage.
Benefits & Compensation
- Competitive base salary. Stated base salary ranges by level:
- Level 4: 184,000 USD - 299,000 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and benefits (link to company benefits provided in the original posting).
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.
- Applications accepted at least until December 7, 2025.