Senior AI Security Researcher

Details

NVIDIA is hiring a Senior AI Security Researcher to define how frontier AI systems, agentic applications, and AI-enabled security automation are tested, attacked, defended, and safely deployed. You will build methods, tools, evaluations, and proofs of concept to help NVIDIA understand and reduce security risk across AI models, AI platforms, autonomous agents, cloud services, developer tooling, and accelerated computing systems.

Responsibilities

• Develop and answer open-ended AI security research questions to measure and reduce risk in frontier models, agentic systems, AI platforms, and AI-enabled products.
• Develop practical methods, prototypes, evaluations, or tools that reveal how AI systems fail under adversarial conditions and how those risks can be mitigated.
• Explore AI security problems such as LLM and agent security, adversarial testing, model evaluation, cyber-defense automation, vulnerability discovery, secure deployment, and autonomous response.
• Translate research into usable outcomes for engineering and security teams: 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 align research with NVIDIA's 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 (deployed security ML systems, AI-security evaluations, CVEs, patents, publications, 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 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.
• Strong cybersecurity foundation: 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 and a track record of building security ML systems that operate at real-world scale.

Ways to Stand Out

• 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, leading research programs, filing patents, publishing papers, or speaking at major security and AI venues.

Compensation & Other Details

• Base salary ranges (determined by location, experience, and level):
  • Level 5: 224,000 USD - 356,500 USD
  • Level 6: 272,000 USD - 431,250 USD
• You will also be eligible for equity and benefits.
• Applications accepted at least until May 12, 2026.
• NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity.