Cloud Security Architecture Lead

NVIDIA•Us, CA

About The Position

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.

Requirements

15+ years in security engineering or architecture roles with a 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.
Strong 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 Haves

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.

Responsibilities

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.