Software Engineer, Trusted Computing and Cryptography

Trusted Computing and Cryptography is an engineering and security team within the OpenAI Security organization. We focus on:

• deploying high-performance cryptography at scale
• key management (including secure offline physical backups, multi-party computation)
• trusted hardware enclaves that enable everything from boot measurements to GPU confidential computation

We're looking for a software engineer to join our team at OpenAI to help us build out and secure our critical computing infrastructure, focusing on trusted computing and cryptography at scale.

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This role may be based remotely in the US with occasional travel to our San Francisco HQ or other offices as needed by the team or role. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

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In this role, you will:

• Write high-quality, performance-critical code in Rust and Python.
• Work alongside researchers, engineers, and security experts to integrate and scale advanced cryptographic techniques into our production and research systems.
• Write foundational libraries to support cryptographic operations and ensure security best practices are embedded into our infrastructure.
• Design, implement, and maintain secure key management systems for production environments.
• Design and deploy systems that help us trust our infrastructure, using security primitives and technologies such as tpm2, Secure Boot, Nitro Enclaves, confidential computing, Intel SGX, and AMD-SEV.
• Research, design, and implement operating system-level security measures, such as remote attestation, runtime TPM measurement, and host integrity verification.

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You might thrive in this role if you:

• Have extensive experience as a software engineer working on global-scale production systems.
• Are experienced in deploying cryptographic systems at scale, with a strong understanding of production cryptographic key management.
• Have familiarity with security primitives, including but not limited to TPM2, Secure Boot, secure enclaves, and confidential computing platforms.
• Have professional experience programming in Python and proficiency in Rust and/or C/C++.
• Own problems end-to-end and are willing to acquire any missing knowledge to get the job done.
• Have experience architecting, observing, and debugging production distributed systems.
• Exhibit a humble attitude, eagerness to help colleagues, and a commitment to the team’s success.
• Are self-directed and enjoy identifying the most important problems to tackle.
• Have experience rebuilding or significantly refactoring production systems to accommodate rapidly increasing scale.
• Have a good intuition for when off-the-shelf solutions will work and can quickly build tools to accelerate workflows when they won’t.