Site Reliability Engineer

Responsibilities

• Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and lifecycle management
• Build software abstractions that unify multiple clusters to present a seamless interface to training workloads
• Own node bring-up from bare metal through firmware upgrades to ensure repeatable deployment at scale
• Improve operational metrics, such as reducing cluster restart times and accelerating upgrade cycles
• Integrate networking and hardware health systems to deliver end-to-end reliability across servers and switches
• Develop monitoring and observability systems to detect issues early and maintain stability under extreme load

Requirements

• Experience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environments
• Deep knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloads
• Proficiency in Python, Go, or similar programming languages
• Familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation
• Experience with bare-metal Linux environments, GPU hardware, and large-scale networking

Preferred Qualifications

• Background with GPU workloads or high-performance computing (HPC)
• Experience with firmware management and hardware-level automation

Benefits

• Competitive salary range of $255K – $490K plus equity
• Comprehensive medical, dental, and vision insurance
• 401(k) retirement plan with employer match
• Flexible PTO and paid parental leave
• Daily meals in the office and mental health support
• Annual learning and development stipend

About the Company

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 AI capabilities and seek to safely deploy them to the world through our products.