# Hardware Platform Security Architect

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** Remote
**Role:** Hardware Engineering
**Salary:** $293k – $490k/yr
**Experience:** 10+ years
**Skills:** Hardware Security, Secure Silicon, Tpm2, Secure Boot, Nitro Enclaves, Intel Sgx, Amd-Sev, Rust, C++, C, Python, Hpc, Simd
**Posted:** 2026-07-30

> Own hardware platform security at OpenAI by co-architecting secure silicon, hardware, and systems using technologies like TPM2, Secure Boot, Intel SGX, and AMD-SEV. Requires 10+ years in hardware security or co-design, strong coding in Rust/C++/Python, and cross-team collaboration.

## Job Description

## 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 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 Systems: Architect and deploy systems using TPM2, Secure Boot, Nitro Enclaves, Intel SGX, AMD-SEV, and other secure hardware technologies.
- Drive Innovation: Engage with internal and external partners to align hardware innovations with OpenAI’s trusted computing and cryptographic requirements.

## Requirements
- 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.

## Nice-to-Haves
- Advanced degree in Computer Architecture, Electrical Engineering, or related fields.
- Familiarity with HPC, low-precision computing, and SIMD architectures.

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