Senior AI Security Researcher

About the role

NVIDIA is seeking a Senior AI Security Researcher to contribute to defining and reducing security risks in AI systems, agentic applications, and AI-enabled security automation. The ideal candidate will develop new methods, tools, and evaluations to understand and mitigate these risks.

Responsibilities

• Develop and answer open-ended AI security research questions that help NVIDIA understand and reduce risk in frontier models, agentic systems, AI platforms, and AI-enabled products.
• Build practical methods, prototypes, evaluations, or tools that reveal how AI systems can fail under adversarial conditions and how those risks can be mitigated.
• Explore a range of AI security problems, such as LLM and agent security, adversarial testing, model evaluation, cyber-defense automation, vulnerability discovery, secure deployment, or autonomous response.
• Translate research into usable outcomes for engineering and security teams, including proof-of-concept demonstrations, benchmarks, technical guidance, mitigations, and secure-by-design recommendations.
• Collaborate across offensive security, product security, AI research, platform, cloud, and infrastructure teams to connect research insights with NVIDIA's highest-impact security priorities.
• Help shape NVIDIA's AI-security research strategy by mentoring others, identifying emerging risks, and building repeatable practices for evaluating and defending AI systems.

Requirements

• 12+ years of experience in AI security, cybersecurity research, applied ML research, offensive security, cyber defense, or related technical fields.
• Demonstrated record of original research and practical impact, such as deployed security ML systems, AI-security evaluations, CVEs, patents, publications, conference talks, open-source tools, production mitigations, or funded research programs.
• Hands-on ability to build working research systems in Python and modern ML/data tooling such as PyTorch, JAX, TensorFlow, scikit-learn, Pandas, NumPy, Spark, BigQuery, or comparable platforms.
• Experience with one or more AI-security areas: LLM security, adversarial ML, model evaluation, agent security, prompt injection, model backdoors, data poisoning, model abuse, secure RAG, synthetic data, or AI-enabled security automation.
• A strong cybersecurity foundation, including threat modeling, adversary simulation, exploit or vulnerability research, malware analysis, network defense, threat hunting, detection engineering, digital forensics, secure code review, or incident-response automation.
• Ability to work across ambiguous research problems and practical product constraints, translating findings into prioritized recommendations and measurable security outcomes.
• Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Cybersecurity or a related field.
• Experience leading AI-security research for major models, AI platforms, security products, or large-scale production systems.
• Track record of building security ML systems that operate at real-world scale, Ways To Stand Out From The Crowd.

Qualifications

• Published work or public technical leadership in AI security, malware data science, adversarial ML, LLM security, cyber-defense automation, or offensive AI.
• Experience developing benchmarks, challenge datasets, red-team tools, evaluation suites, or simulation environments for AI and security systems.
• Deep knowledge of attacker tradecraft, including living-off-the-land techniques, supply-chain abuse, application-layer AI attacks, data exfiltration, and abuse of autonomous tooling.
• Experience with low-level systems security.
• History of mentoring researchers, winning or leading research programs, filing patents, publishing papers, or speaking at major security and AI venues.

Skills

• Python programming skills.
• Experience with PyTorch, JAX, TensorFlow, scikit-learn, Pandas, NumPy, Spark, BigQuery, or similar platforms.
• Knowledge of AI security areas such as LLM security, adversarial ML, model evaluation, agent security, prompt injection, model backdoors, data poisoning, model abuse, secure RAG, synthetic data, or AI-enabled security automation.
• Strong cybersecurity background, including threat modeling, adversary simulation, exploit or vulnerability research, malware analysis, network defense, threat hunting, detection engineering, digital forensics, secure code review, or incident-response automation.

Benefits

The position offers competitive compensation, including a base salary range of $224,000 - $356,500 for Level 5 and $272,000 - $431,250 for Level 6, depending on experience and location. Additionally, you will be eligible for equity and benefits.

Pay

Base salary range: $224,000 - $356,500 for Level 5, and $272,000 - $431,250 for Level 6.

Schedule

Full-time position.