Senior AI Safety Red Teamer

Responsibilities

• 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).

Additional Information

At 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.

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Company Intel

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