OpenAI is seeking a Hardware Security Engineer specializing in Trusted Computing and Cryptography to lead the design and implementation of critical hardware-based security systems. This role presents an exceptional opportunity to shape the future of secure computational infrastructure at one of the world's leading AI companies. The position combines deep technical expertise in hardware security with strategic thinking, focusing on integrating advanced cryptographic techniques and secure hardware primitives into production environments.
The role demands expertise in both hardware and software domains, requiring proficiency in languages like Rust, C/C++, and Python. You'll work with cutting-edge technologies including TPM2, Secure Boot, Nitro Enclaves, Intel SGX, and AMD-SEV, while collaborating with cross-functional teams of kernel, compiler, and ML engineers. The position offers a competitive compensation package ranging from $308K to $465K, along with comprehensive benefits including medical coverage, 401(k) matching, and various wellness perks.
As a Principal Engineer in this role, you'll be responsible for architecting secure solutions that protect critical infrastructure while maintaining high performance. The position requires 10+ years of industry experience and demands both technical excellence and strong leadership skills. You'll be at the forefront of hardware security innovation, working to anticipate and mitigate emerging threats while ensuring the robust security of OpenAI's systems.
This remote position offers the flexibility of working from anywhere in the United States while being part of a team that's pushing the boundaries of AI technology. The role combines the challenge of solving complex technical problems with the opportunity to make a significant impact on the security and reliability of systems at scale. If you're passionate about hardware security, cryptography, and want to work at the intersection of AI and security, this role offers an unparalleled opportunity to shape the future of trusted computing.