Cloud Security Architecture Lead

🕒 May 7

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Define and guide the complete security architecture for global cloud and datacenter infrastructure • Ensure strong protection of critically important AI workloads against advanced adversaries • Architect robust security frameworks for cloud infrastructure across public (AWS, Azure, GCP, Oracle) and private GPU/AI environments • Implement network segmentation strategies using SDN techniques for 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 to a team of security architects and engineers

🎯 Requirements

• 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 • Strong expertise in workload identity and zero-trust access patterns • Demonstrated expertise in protecting containerized and Kubernetes environments on a large scale • BS/MS or PhD in Computer Science, Electrical Engineering, or related field, or equivalent experience

🏖️ Benefits

• Comprehensive benefits package • Health insurance • Stock options

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