NVIDIA is hiring a Senior Security Architect - AI and ML

Nvidia is hiring a Senior Security Architect - AI and ML to define, craft, and implement secure architectures for our AI/ML products, including Trusted Execution Environment architecture. You will take a strong hands-on role working with diverse teams across NVIDIA and with external partners to define and meet security requirements for innovative AI and ML projects.

What You'll Do

• Help define the field of ML/AI security architecture.
• Research, define, design, advise, develop, review, and implement architecture solutions meeting internal and external security requirements and standards.
• Collaborate across the company to guide the direction of designing secure AI and ML products, working with hardware, software, research, IT, and product teams.
• Perform architectural modeling, validation, definition, follow standards bodies, and develop infrastructure enabling trusted platforms using hardware security methods.
• Perform Product Cybersecurity assessments on projects of multiple NVIDIA product lines.
• Complete independent reviews on project work packages that are AI and ML specific.
• Develop new attacks and defenses for ML/AI enabled applications.
• Support the development of the Product Cybersecurity Training strategy and deliver cybersecurity trainings to increase awareness and understanding of security requirements, tools, processes, and technical standards for NVIDIA ML/AI systems.

What We're Looking For

• MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience.
• 8+ years of relevant work experience.
• First-hand work with Machine Learning, Deep-Learning, or Artificial Intelligence.
• Familiarity with current attacks on ML models, including adversarial examples, training data extraction, model extraction, and data poisoning.
• Background with attacks on and attack surface of LLM-powered systems, including direct and indirect prompt injection, guardrail evasion, and tool abuse.
• Experience using modern Deep Learning software architectures and frameworks like Jax or PyTorch.
• Experience with security development lifecycle processes and tools.
• Programming and debugging fundamentals across languages such as Python, C/C++.
• Strong communication skills and a real passion for working as a team are essential.

Nice to Have

• Use of AI in vulnerability research or some other offensive domain.
• Experience analyzing AI-generated code for security issues.
• Demonstrated experience in MLops or Deep learning related infrastructure.
• Understanding of data science, statistical analysis, and visualization.
• Background of AI Trust principles and familiarity with application of ethical and safety perspectives to AI implementations.

Technical Stack

• Jax
• PyTorch
• Python
• C/C++

Team & Environment

Work with diverse teams across NVIDIA including hardware, software, research, IT, and product teams.

Benefits & Compensation

• Equity
• Benefits
• Compensation: $184,000 USD - $287,500 USD for Level 4, and $224,000 USD - $356,500 USD for Level 5 + equity: Eligible

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.