11 months ago
Base Salary
$230k - $490k/yr
Responsibilities
- Design and build systems to manage cloud and bare-metal fleets at scale.
- Develop tools connecting low-level hardware metrics with job scheduling and cluster management algorithms.
- Use LLMs to coordinate vendor operations and optimize infrastructure workflows.
- Automate infrastructure processes to reduce repetitive toil and improve reliability.
- Collaborate with hardware, infrastructure, and research teams to integrate systems across the stack.
- Continuously improve tools, automation, processes, and documentation for operational efficiency.
Requirements
- Strong software engineering skills and experience in large-scale infrastructure environments.
- Broad knowledge of cluster-level systems, including Kubernetes, CI/CD pipelines, Terraform, and cloud providers.
- Deep expertise in server-level systems, including systems software, containerization, Chef, Linux kernels, firmware management, and host routing.
- Interest in optimizing the performance and reliability of large compute fleets.
- Ability to solve complex infrastructure challenges in dynamic environments.
- Commitment to automation, efficiency, and continuous improvement.
Benefits
- Hybrid work model requiring three days per week in the San Francisco office.
- Relocation assistance is available to new employees.
- Equal opportunity employment and reasonable accommodations for applicants with disabilities.
Tech Stack
Categories
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.