OpenAI - Hardware Platform Security Architect
Requirements
• Advanced degree in Computer Architecture, Electrical Engineering, or related fields. • Familiarity with HPC, low-precision computing, and SIMD architectures. • OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
Responsibilities
• Co-Architect Secure Silicon: Collaborate with cross-functional silicon teams (Silicon Design, DV, FW) and silicon partners (silicon test facilities, foundries) to develop secure silicon that meets the end-to-end system requirements. • Co-Architect Secure Silicon: • Co-Architect Secure Hardware: Collaborate with hardware vendors and cross-functional teams (kernel, compiler, infra) to design secure hardware that meets performance and security needs. • Co-Architect Secure Hardware: • Co-Architect Secure Systems: Architect and deploy systems using TPM2, Secure Boot, Nitro Enclaves, Intel SGX, AMD-SEV, and other secure hardware technologies. • Co-Architect Secure Systems: • Drive Innovation: Engage with internal and external partners to align hardware innovations with OpenAI’s trusted computing and cryptographic requirements. • Drive Innovation: • You might thrive in this role if you have: • 10+ years of industry experience in hardware security or hardware–software co-design. • Proven expertise in deploying secure hardware systems at scale and integrating secure hardware primitives. • Strong coding skills in Rust and/or C/C++, with proficiency in Python. • Proven ability to collaborate across teams, architect solutions, and debug complex production systems. • A proactive, ownership-driven mindset with a focus on end-to-end problem solving.
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