Software Engineer, Encryption

🇺🇸 San Francisco, California
Posted 2 months ago
Expires May 29, 2026
Full TimeOn-site

About the Team

The Encryption team works across product, engineering, security, and safety to build advanced privacy products and infrastructure at OpenAI. Our mission is to provide world-class security features to users so their private data remains private, even from OpenAI. We use technologies like client-side encryption, hardware security modules (HSMs), and trusted execution environments (TEEs), and design modern crypto, storage, and authentication protocols to ship product features across ChatGPT and our future consumer devices.

About the Role

We’re looking for software engineers to design, build, and scale novel privacy features and infrastructure across ChatGPT and our future consumer devices.

In this role, you will:

- Ship fast while balancing difficult trade-offs in complex domains

- Build core abstractions for encrypted storage, sync, and recovery, especially when paired with inference in trusted execution environments

- Build product features for authentication, encryption, and storage across ChatGPT and future consumer devices

- Build and maintain infrastructure for hardware security modules (HSMs)

- Integrate with private inference and computing infrastructure

- Operate systems at scale with high reliability, including an on-call rotation

- Collaborate with a diverse set of cross-functional teams across product, engineering, security, safety, policy, and legal

You might thrive in this role if you:

- Care deeply about user privacy and security

- Have 5+ years of experience in professional software engineering

- Have experience designing end-to-end encryption protocols (e.g. Labyrinth)

- Have experience building intuitive authentication experiences for users

- Have experience building and scaling HSM infra under strict security requirements (e.g. Juicebox)

- Take pride in building and operating scalable, reliable, secure systems

- Can collaborate well and drive alignment in the face of difficult trade-offs

- Are comf...

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