1 day ago
Base Salary
$287k - $485k/yr
Responsibilities
- Build developer tools, services, APIs, and workflows that automate hardware engineering processes and improve productivity.
- Design, implement, and operate large-scale regression systems covering scheduling, execution, results collection, triage, and reporting.
- Build and maintain CI/CD pipelines for infrastructure, developer tooling, and cluster configurations.
- Design, provision, and operate cloud infrastructure and HPC clusters while optimizing scheduling, capacity, reliability, and cost.
- Develop data pipelines, databases, monitoring, alerting, and observability systems for regression results and infrastructure health.
- Troubleshoot complex infrastructure issues, automate recovery, and improve platform resilience and operational excellence.
- Collaborate with RTL, verification, physical design, emulation, formal verification, and systems software engineers.
Requirements
- Strong software engineering fundamentals and proficiency with Python or a similar programming language.
- Deep expertise in at least one infrastructure domain, including Linux/HPC, cloud infrastructure, CI/CD, storage, networking, or EDA development workflows.
- Experience designing, deploying, and operating cloud infrastructure, preferably Azure, with infrastructure-as-code experience using Terraform or Bicep.
- Strong Linux systems knowledge covering processes, filesystems, networking, permissions, performance troubleshooting, and system administration.
- Experience building and maintaining CI/CD pipelines using Jenkins, Buildkite, GitHub Actions, or similar platforms.
- Ability to debug distributed infrastructure problems, identify root causes, and implement durable solutions.
- Experience owning systems from design and implementation through deployment, monitoring, and ongoing operations.
- Strong technical judgment, communication, collaboration, and interest in hardware development workflows.
- Experience with ASIC or semiconductor development environments, EDA workflows, design verification, physical design, emulation, or formal verification is a bonus.
- Experience operating HPC clusters or schedulers such as Slurm is a bonus.
- Familiarity with compute farms, regression frameworks, build systems, hardware toolchains, enterprise identity systems, relational databases, distributed systems, high-performance storage, or EDA license servers is a bonus.
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.