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Security Engineer, Infrastructure Security

OpenAI · US - Remote · New York City · Seattle · San Francisco

CHECKED 35M AGO

Frontier labremote$266k–$445k
Apply on the lab’s site ↗

At a glance

Highlights

  • Protect research and production foundations for frontier AI models.
  • Secure GPU supercomputing clusters, datacenters and global networks.
  • Design controls from bare-metal hardware to storage for model weights.

What they offer

  • Equity

Ideal candidate

Proactive infrastructure generalist who loves securing large-scale systems end-to-end and raising the bar through automation. Collaborative communicator excited to enable researchers while defending against sophisticated threats.

Requirements

  • Deep understanding of security principles, best practices, and common vulnerabilities.
  • Proactive mindset with ability to address security gaps through automation and tooling.
  • Track record of delivering scalable solutions across infrastructure in real-world projects.
  • Expertise in securing cloud platforms including multi-cloud networks and infrastructure.
  • Experience securing on-prem deployments and datacenters.
  • Familiarity with container security, orchestration security, and authentication/authorization.
  • Strong analytical and problem-solving skills to assess security risks.
  • Excellent communication skills for technical and non-technical stakeholders.
  • Excitement about collaborating with cross-functional teams to build secure systems.

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗