Security Engineer

• 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.
• Architectural modeling, validation, definition, following standards bodies, and developing 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.

Senior Security Architect – AI, ML

Lead Software Engineer – Cybersecurity Research

Lead Software Engineer – Cybersecurity Research

IT Security gyakornok