Senior Security Architecture Lead, AI Cloud Platform

Emploive

Northern (KY)

Hybrid

USD 320,000 - 489,000

Full time

3 days ago
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Job summary

NVIDIA DGX Cloud seeks a Distinguished Engineer for Security Architecture to set the security design bar for a scalable AI factory. You will work with multiple engineering teams to implement tenancy, workload isolation, identity, and supply-chain controls across a fleet of GPUs.

Lead a small Principal Engineer team, collaborate with NVIDIA's central security organization, and shape security policies for end-to-end platform security.

Qualifications

  • Security architecture experience across large, distributed cloud platforms.
  • Ability to own security architecture end-to-end from tenancy to workload isolation.
  • Hands-on coding and ability to read unfamiliar code bases for security flaws.
  • Ability to foresee changes in AI security and adapt the design accordingly.
  • Experience leading senior engineers and growing talent.
  • Strong collaboration with cross-functional teams and executives.

Responsibilities

  • Set the security bar for DGX Cloud across tenancy, workloads, identity, and supply chain.
  • Lead with engineering teams to ship secure designs and hardened baselines.
  • Drive multi-year architecture for common security infrastructure and governance.
  • Attack recurring risks at the architectural root and feed improvements back to baselines.
  • Grow a team of Principal Engineers, hiring and mentoring talent.
  • Collaborate across platform, production engineering, and network security teams.
  • Communicate risk gaps to executives and drive resolution.

Skills

Security Engineering
Fleet-scale Architecture
Production Coding
Emerging Technology
Threat Modeling
Linux & Kubernetes
Technical Leadership
Mentoring Engineers

Education

Bachelor's degree in CS/Engineering
MS/PhD in CS/EE or equivalent

Tools

Kubernetes

Job description

NVIDIA DGX Cloud seeks a Distinguished Engineer for Security Architecture to set the security design bar for a scalable AI factory. You will work with multiple engineering teams to implement tenancy, workload isolation, identity, and supply-chain controls across a fleet of GPUs.

Lead a small Principal Engineer team, collaborate with NVIDIA's central security organization, and shape security policies for end-to-end platform security.

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