Research Scientist, AI and Systems Security
NVIDIA
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- CybersecuritySystem designOperationsVulnerability managementMachine learningPython
- Work
- On-site in Santa Clara
- Pay
- Not stated by the employer.
- Skill demand
- Operations26%Cybersecurity6%System design5%Vulnerability management4%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 8, 2026 · still open
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About the Role
NVIDIA is seeking 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.
- AI for cybersecurity.
The role offers the opportunity to shape the security and safety foundations of emerging AI platforms, develop new approaches for AI-enabled secure system design and verification, and advance AI-powered cybersecurity.
Key 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.
- Rigorously evaluate security, safety, privacy, performance, and efficiency tradeoffs.
- Advance AI for cybersecurity by developing 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.
- Help translate research advances into practical systems and developer capabilities.
Requirements & Tech Stack
- Strong research background in security, AI/ML, computer architecture, operating systems, formal methods, programming languages and compilers, software systems, or other related areas.
- Deep expertise in at least one of the three research areas:
- Security of AI models and systems
- AI-enabled design and verification of secure computer systems
- AI for cybersecurity
- Ability to connect depth in one area to challenges across the hardware/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 researcher.
Qualifications
- A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- A record of research excellence demonstrated through publications, open-source systems, patents, technology transfer, or substantial research collaborations.
Note: Candidates do not need to be experts in all three research areas but should be excited to work across disciplines.