Senior AI Security Researcher

Details

NVIDIA is looking for a Senior AI Security Researcher to help define how frontier AI systems, agentic applications, and AI-enabled security automation are tested, attacked, defended, and safely deployed. The role involves building methods, tools, evaluations, and proofs of concept to help reduce security risks across AI models, AI platforms, autonomous agents, cloud services, developer tooling, and accelerated computing systems.

The researcher will work from open-ended research questions through application in working systems, discovering novel failure modes, building evaluation harnesses, prototyping adversarial and defensive techniques, and turning findings into practical mitigations for engineering teams. Relevant backgrounds may include AI security, ML security, malware data science, cyber-defense research, adversarial ML, LLM security, offensive security, threat hunting, or applied security research at scale.

Responsibilities

• Develop and answer open-ended AI security research questions involving frontier models, agentic systems, AI platforms, and AI-enabled products.
• Develop practical methods, prototypes, evaluations, and tools that reveal how AI systems fail under adversarial conditions and how those risks can be mitigated.
• Explore LLM and agent security, adversarial testing, model evaluation, cyber-defense automation, vulnerability discovery, secure deployment, and autonomous response.
• Translate research into proof-of-concept demonstrations, benchmarks, technical guidance, mitigations, and secure-by-design recommendations.
• Collaborate with offensive security, product security, AI research, platform, cloud, and infrastructure teams.
• 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 or data tooling such as PyTorch, JAX, TensorFlow, scikit-learn, Pandas, NumPy, Spark, BigQuery, or comparable platforms.
• Experience in one or more AI-security areas, including 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, 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.
• A track record of building security ML systems that operate at real-world scale.

Preferred 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.

Compensation and Benefits

The base salary range is USD 224,000–356,500 for Level 5 and USD 272,000–431,250 for Level 6. Base salary is determined by location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.