Nvidia
AI
CloudSecurityArchitectureLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Cloud Security Architecture Lead at Nvidia. Skills: Cloud Security Architecture, Global Cloud and Datacenter Infrastructure Security, AI Workload Protection, Public and Private Cloud Security (AWS, Azure, GCP, Oracle), Network Segmentation (SDN), Confidential Computing, Hardware-rooted Trust, Encryption Schemes, Zero Trust Principles, Workload Identity Frameworks, Container and Kubernetes Security. Define and guide the complete security architecture for global cloud and datacenter infrastructure”
Industry & Context.
What They're Looking For.
Must Have
15+ years in security engineering or architecture roles, minimum of 8 years in senior leadership positions, Expertise in architecting security for both "Security of the Cloud" and "Security in the Cloud.", Deep knowledge of cloud-native security architectures on major cloud platforms, expertise in workload identity and zero-trust access patterns, Demonstrated expertise in protecting containerized and Kubernetes environments on a large scale, Communicate complex security risks and architectural trade-offs to technical and management collaborators, BS/MS or PhD in Computer Science, Electrical Engineering, or related field, or equivalent experience
Nice to Have
Experience securing AI/ML infrastructure and GPU compute clusters against novel threats, Experience with hardware-rooted trust and secure provisioning pipelines, Depth in post-quantum cryptography and applied cryptography in distributed systems
What You'll Do.
Define and guide the complete security architecture for global cloud and datacenter infrastructure
Ensure protection of critically important AI workloads against advanced adversaries
Architect robust security frameworks for cloud infrastructure across public (AWS
Oracle) and private GPU/AI environments
Implement network segmentation strategies using SDN techniques to implement multi-tenant isolation
Facilitate adoption of Confidential Computing and hardware-rooted trust models for high-sensitivity AI workloads
Craft layered encryption schemes to mitigate risks and adhere to Zero Trust principles
Govern workload identity frameworks to eliminate static credentials and implement identity-based access controls
Direct security architecture in container and Kubernetes environments to maintain secure
scalable multi-tenant clusters
Provide technical leadership and mentoring a team of security architects and engineers to drive architectural improvements across the organization
How You'll Work.
Team & Collaboration
Communicate complex security risks and architectural trade-offs to technical and management collaborators
Communication Scope
Communicate complex security risks and architectural trade-offs to technical and management collaborators
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. At NVIDIA, we are at the forefront of innovation, transforming computer graphics, PC gaming, and accelerated computing for over 25 years. Our legacy is built on groundbreaking technology and outstanding people. As we venture into the limitless potential of AI, our GPUs are driving advancements in computers, robots, and self-driving cars that understand the world. Joining our team means crafting the future of computing. Become part of a diverse, encouraging environment where you can do your best work and leave a lasting impact on the world. **What you 'll be doing:** As the Cloud Security Architecture Lead, you will define and guide the complete security architecture for our global cloud and datacenter infrastructure. You will ensure strong protection of critically important AI workloads against advanced adversaries. Your role includes: * Architecting robust security frameworks for cloud infrastructure across public (AWS, Azure, GCP, Oracle) and private GPU/AI environments. * Implementing network segmentation strategies using SDN techniques to implement multi-tenant isolation. * Facilitating adoption of Confidential Computing and hardware-rooted trust models for high-sensitivity AI workloads. * Crafting layered encryption schemes to mitigate risks and adhere to Zero Trust principles. * Governing workload identity frameworks to eliminate static credentials and implement identity-based access controls. * Directing security architecture in container and Kubernetes environments to maintain secure, scalable multi-tenant clusters! * Providing technical leadership and mentoring a team of security architects and engineers to drive architectural improvements across the organization. **What we need to see:** * 15+ years in security engineering or architecture roles with a minimum of
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