Research Scientist, AI and Systems Security - PhD New College Grad 2026
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
Communication @ 3
Machine Learning @ 6
Python @ 6
Security @ 6
- 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 looking for a Research Scientist to advance security, safety, and privacy across three complementary research areas: security of AI models and systems; AI-enabled design and verification of secure computer systems; and AI for cybersecurity. The role focuses on building secure, safe, and private systems from first principles by co-designing hardware, software, AI models, algorithms, and operational controls while preserving performance, energy efficiency, and usability.
NVIDIA is a leader in accelerated computing and AI systems. This role offers the opportunity to shape the security and safety foundations of emerging AI platforms, develop approaches for AI-enabled secure system design and verification, and advance AI-powered cybersecurity in collaboration with research, product, and engineering teams.
Responsibilities
- Advance the security, safety, and privacy of AI models and systems across the full lifecycle, including data collection, training, model and agent behavior, inference, deployment, and platform operations.
- Develop AI-enabled methods to design, analyze, implement, and verify computer systems, including hardware architectures, system software, runtimes, compilers, and applications.
- Evaluate security, safety, privacy, performance, and efficiency tradeoffs.
- Develop AI for cybersecurity techniques for vulnerability discovery, secure code generation and review, threat detection, incident analysis, security validation, and automated defense.
- Collaborate across hardware, software, research, and product teams.
- Publish original research and help translate research advances into practical systems and developer capabilities.
Requirements
- Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong research background in security, AI/ML, computer architecture, operating systems, formal methods, programming languages and compilers, software systems, or related areas.
- Record of research excellence demonstrated through publications, open-source systems, patents, technology transfer, or substantial research collaborations.
- Deep expertise in at least one of the following areas: security of AI models and systems, AI-enabled design and verification of secure computer systems, or AI for cybersecurity.
- Ability to connect research expertise to challenges across the hardware and software stack.
- Strong experimental research and prototyping skills, including the ability to build systems, define threat models, design meaningful evaluations, and analyze security and performance tradeoffs.
- Strong programming skills in C, C++, Python, and/or relevant systems and machine-learning frameworks.
- Clear written and verbal communication skills.
- Creative, collaborative, and self-directed approach, with an interest in working across disciplines and turning new ideas into high-impact research and technology.
Benefits
- Competitive salary.
- Comprehensive benefits package.
- Eligibility for equity and benefits.
- Inclusive work environment and equal opportunity employment.
The expected base salary range for this position is USD 168,000–264,500. The base salary is determined based on location, experience, and other objective job-related factors. Applications will be accepted at least until November 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.