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 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. Ways to stand out from the crowd: • 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. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

Requirements

Must-haves

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.
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.
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsazuregcpkubernetesml

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

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