Senior AI Security Researcher
Posted 21 days ago · 0 applicants
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The role in plain words
This role involves conducting hands-on safety and security research on NVIDIA's AI and networking products. You will develop tools to expose weaknesses in AI models, participate in defining safety standards, and collaborate with cross-functional teams to implement security solutions. Additionally, you will act as a technical focal point providing AI safety and engineering expertise across multiple teams.
- Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience)
- Demonstrated experience of 5+ years in AI safety/security and offensive cybersecurity
- Knowledge of AI (both model and infrastructure) vulnerabilities and effective mitigation strategies
- In-depth understanding of LLM, MLLM, Generative AI, Agents and RAG workflows
- Proven Python programming expertise
- Hands-on experience designing and building software products, including infrastructure and system design
- Knowledge of MLOps technologies such as Docker and Kubernetes
- Familiarity with ML libraries (PyTorch, TensorRT, or TensorRT-LLM)
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced professionals with at least five years of experience in AI safety, security, and offensive cybersecurity, along with strong Python programming skills. It is less ideal for those without a background in LLMs, Generative AI, or AI infrastructure vulnerabilities.
Full job description
Original listing · kept for referenceAt NVIDIA we tackle challenges no one else can solve. Our work in Networking and AI is transforming the world's largest industries and profoundly impacting society. NVIDIA Networking product security team is looking for an outstanding technical AI red teamer with hands-on safety and security experience to help us improve the safety posture of AI models, systems and infrastructure. In this role you will reduce risk, threats, and vulnerabilities in NVIDIA networking AI products.
What You'll Be Doing
• Drive hands-on safety and security research on a range of AI and networking products.
• Develop tools and processes to expose novel weaknesses in AI models and systems to preempt threats.
• Participate in defining and ensuring AI development processes meet safety and security standards.
• Partner with cross-functional teams to understand needs and implement solutions.
• Be a technical focal point across multiple teams and provide hands-on AI safety, security and engineering expertise.
What We Need To See
• Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience).
• Demonstrated experience of 5+ years in AI safety/security and offensive cybersecurity.
• Knowledge of AI (both model and infrastructure) vulnerabilities and effective mitigation strategies.
• In-depth understanding of LLM, MLLM, Generative AI, Agents and RAG workflows.
• Proven Python programming expertise
• Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings across the team
• Extremely motivated, highly passionate, and curious about new technologies.
Ways To Stand Out From The Crowd
• Hands-on experience designing and building software products, including infrastructure and system design.
• Knowledge of MLOps technologies such as Docker and Kubernetes.
• Familiarity with ML libraries (PyTorch, TensorRT, or TensorRT-LLM).
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience), Demonstrated experience of 5+ years in AI safety/security and offensive cybersecurity, Knowledge of AI (both model and infrastructure) vulnerabilities and effective mitigation strategies, In-depth understanding of LLM, MLLM, Generative AI, Agents and RAG workflows, Proven Python programming expertise