EDA Cloud & Developer Infrastructure Engineer

Linuxconfig; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

OpenAI's Hardware organization is building AI-native silicon and system-level solutions. This Infrastructure Software Engineer role focuses on designing and scaling cloud infrastructure, HPC environments, CI/CD pipelines, and developer workflows that accelerate OpenAI's custom silicon development across the full hardware lifecycle.

You will build developer tools, automate workflows, design large-scale regression systems, and operate cloud infrastructure to optimize capacity and cost efficiency.

Qualifications

• Strong software engineering fundamentals with Python or similar language.
• Deep Linux knowledge including processes, filesystems, networking and performance.
• Experience designing, deploying, and operating cloud infrastructure.
• Hands-on CI/CD experience with Jenkins, Buildkite, GitHub Actions or similar.

Responsibilities

• Build developer tools and workflows that automate hardware engineering processes.
• Design, implement, and operate large-scale regression systems for scheduling and reporting.
• Build and maintain automated CI/CD pipelines for infrastructure and tooling.
• Design and operate cloud infrastructure and HPC clusters, optimizing capacity and cost.
• Develop data pipelines and observability to monitor regression results and resource use.
• Troubleshoot infrastructure issues and build resilient systems.

Skills

Python

Linux systems

Cloud infrastructure

CI/CD

Tools

Terraform

Azure

Jenkins

GitHub Actions

Buildkite

Bicep

Job description

OpenAI's Hardware organization is building AI-native silicon and system-level solutions. This Infrastructure Software Engineer role focuses on designing and scaling cloud infrastructure, HPC environments, CI/CD pipelines, and developer workflows that accelerate OpenAI's custom silicon development across the full hardware lifecycle.

What You'll Do

• Build developer tools and workflows that automate hardware engineering processes and accelerate productivity
• Design, implement, and operate large-scale regression systems for job scheduling, execution, results collection, and reporting
• Build and maintain automated CI/CD pipelines for infrastructure, developer tooling, and cluster configurations
• Design and operate cloud infrastructure and high-performance compute clusters, optimizing scheduling, capacity, and cost efficiency
• Develop data pipelines, monitoring systems, and observability infrastructure to provide visibility into regression results and resource utilization
• Troubleshoot complex infrastructure issues, improve alerting, and build resilient, maintainable systems

What You Need

• Strong software engineering fundamentals with proficiency in Python or similar programming language
• Deep technical expertise in at least one infrastructure domain: Linux/HPC environments, cloud infrastructure, CI/CD systems, storage, or networking
• Experience designing, deploying, and operating cloud infrastructure, preferably Azure, with infrastructure-as-code tools like Terraform or Bicep
• Strong Linux systems knowledge including processes, filesystems, networking, permissions, and performance troubleshooting
• Experience building and maintaining CI/CD pipelines using Jenkins, Buildkite, GitHub Actions, or similar platforms

Nice to Have

• Experience supporting ASIC or semiconductor development environments including EDA workflows, design verification, physical design, emulation, or formal verification
• Experience operating large-scale HPC clusters or workload schedulers such as Slurm
• Familiarity with enterprise identity and authentication systems such as Entra ID, OpenLDAP, FreeIPA, or SSSD
• Experience designing and operating relational databases such as PostgreSQL or MySQL