Software Engineer, System Enablement

Stack

Responsibilities

• ▹Own the end-to-end bring-up and bootstrap path for new systems and compute nodes, from bare metal/early access in lab or production/cloud environments to schedulable fleet capacity: image build, user-data/config, cluster join, readiness gates
• ▹Build and maintain first-class golden image and provisioning workflows across lab and production environments, including partner-provided base images and OS/version reconciliation
• ▹Work with partner teams to integrate nodes into fleet infrastructure and IaC pipelines (Terraform, Chef, etc.)
• ▹Partner with scheduling and platform owners to ensure new hardware is reachable and scheduled
• ▹Drive registration and inventory correctness, including hands-on support to get nodes registered and visible end-to-end
• ▹Collaborate with partner teams on baseline health and telemetry bring-up: minimum viable health signals, pass/fail checks, automated reporting
• ▹Debug issues across layers: PXE/boot-loader, UEFI/BIOS, BMC, OS bring-up, NIC/network reachability, kubelet/control-plane connectivity, storage constraints

Requirements

• ▹BS in CS/EE (or equivalent practical experience)
• ▹5+ years of experience in systems software development and building/operating Linux-based infrastructure in production or pre-production environments
• ▹Strong, hands-on Kubernetes cluster operations experience (node lifecycle, bootstrap/join, control-plane debugging)
• ▹Infrastructure-as-Code / config management experience (Terraform, Chef/Ansible, etc.)
• ▹Provisioning and imaging experience (PXE/iPXE, golden images, cloud-init/user-data)
• ▹Networking fundamentals (L2/L3, routing, DNS, firewalling), reachability debugging
• ▹Proven ability to write automation in Python/Go/Bash and ship operational tooling/run-books

Nice to have

• ▹Experience bringing up new hardware platforms (early silicon/servers/NICs) in a lab setting and turning them into stable fleet capacity
• ▹Multi-cloud operational experience (Azure/GCP/AWS/OCI), especially with compute pools (e.g., VMSS/instance pools)
• ▹Experience building telemetry/health pipelines
• ▹Familiarity with WAN, peering, and multi-site network concepts for cluster deployments

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics.