The opportunity
OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Through a combination of strategic partnerships and self-built campuses, we are scaling the compute, storage, and networking platforms that power frontier AI training and inference.
What you'll do
Build integrations that collect CPU, storage, capacity, inventory, and: operational data from internal systems and external vendors.
Connect data across APIs, databases, object storage, infrastructure services,: and capacity management platforms.
Build backend services and scheduled workloads that normalize infrastructure: data and make it available to engineering and analytics teams.
Design data models that create consistent representations of capacity,: inventory, utilization, and infrastructure state across systems.
Determine the right architecture for new integrations, whether within: existing services, orchestration frameworks, or purpose-built applications.
Build data-quality and reconciliation mechanisms to identify missing, stale,: or inconsistent information across source systems.
What they're looking for
- Improve reliability through testing, monitoring, logging, and automated validation.
- Develop reusable patterns for onboarding new infrastructure and vendor data: sources as OpenAI's footprint grows
- Bachelor's degree in Computer Science, Engineering, or a related technical: field, or equivalent practical experience.
- + years of experience in software engineering, data engineering, backend: engineering, infrastructure engineering, or a related technical discipline.
