Privacy Engineer — Confidential Computing & Encryption

OpenAI

United States

Hybrid

USD 190,000 - 250,000

Full time

14 days+
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Job summary

OpenAI seeks software engineers to design, build, and scale privacy features and infrastructure across ChatGPT, the API, and future devices. You will ship fast while balancing trade-offs and build abstractions for trusted execution environments and end-to-end encryption.

This hybrid role is based in San Francisco, CA with four in-office days. Relocation assistance is available as you collaborate with product, security, safety, policy and legal to deliver private inference and secure storage at

Qualifications

  • 5+ years of professional software engineering experience.
  • Experience building and scaling confidential computing or encryption technologies in production.
  • Experience with Kubernetes and cloud orchestration systems.
  • Strong focus on privacy and security in system design.

Responsibilities

  • Design, build and scale privacy features and infrastructure across ChatGPT, API, and future devices.
  • Ship fast while balancing tough trade-offs in complex domains.
  • Update build systems to increase trust and verifiability.
  • Integrate with safety and integrity infrastructure.
  • Operate systems at scale with high reliability; participate in on-call rotations.
  • Collaborate with cross-functional teams across product, engineering, security, safety, policy and legal.

Skills

Privacy
Encryption
Confidential computing
Kubernetes
Cloud orchestration

Tools

Kubernetes
Cloud platforms

Job description

OpenAI seeks software engineers to design, build, and scale privacy features and infrastructure across ChatGPT, the API, and future devices. You will ship fast while balancing trade-offs and build abstractions for trusted execution environments and end-to-end encryption.

This hybrid role is based in San Francisco, CA with four in-office days. Relocation assistance is available as you collaborate with product, security, safety, policy and legal to deliver private inference and secure storage at

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