Capacity Systems Software Engineer
Build backend services, APIs, and data platforms that serve as the system of record for OpenAI's compute capacity planning, forecasting, and operational decision-making across a global infrastructure footprint.
About the job
Key Responsibilities
- Design and build software systems that serve as the system of record for Industrial Compute planning and operations
- Develop backend services, APIs, workflows, and data platforms that support capacity forecasting, allocation, deployment readiness, and operational planning
- Build applications that connect infrastructure delivery, fleet health, capacity utilization, product demand, and financial planning into a shared operational view
- Build planning and scenario-modeling systems that help leaders understand tradeoffs across capacity, utilization, cost, reliability, launch timing, and business impact
- Create workflow automation and decision-support tooling that improves planning accuracy and reduces operational overhead
- Partner with Capacity Planning, Fleet Operations, Product, Finance, Infrastructure Engineering, Supply Chain, and Strategic Sourcing teams to understand operational workflows and translate them into software systems
- Drive architecture decisions across planning platforms, operational tooling, and internal infrastructure systems
- Improve data quality, observability, and operational visibility across Industrial Compute programs
- Build extensible software foundations that scale alongside OpenAI's rapidly growing infrastructure footprint
Requirements
- 5+ years of experience in software engineering, platform engineering, infrastructure engineering, or related technical disciplines
- Strong programming experience in Python, Go, Java, TypeScript, or similar languages
- Experience building distributed systems, backend services, internal platforms, workflow systems, or operational tooling
- Experience designing APIs, data pipelines, and integrations across multiple systems
- Strong system design and software architecture skills
- Experience working with large operational datasets and business-critical workflows
- Ability to operate effectively in highly cross-functional environments and translate ambiguous operational challenges into scalable technical solutions
- Strong ownership mindset and ability to independently drive complex projects
Preferred Skills
- Experience building planning systems, forecasting platforms, optimization engines, or decision-support tools
- Experience with SQL, data warehouses, orchestration frameworks, analytics platforms, and distributed data systems
- Experience supporting infrastructure, cloud platforms, data centers, hardware deployment programs, or large-scale operational environments
- Familiarity with capacity planning, supply chain systems, financial modeling, or infrastructure operations
- Experience replacing spreadsheet-driven workflows with scalable software platforms
- Experience building systems that support scenario planning, forecasting, optimization, or resource allocation
- Familiarity with AI infrastructure, hyperscale compute environments, or large-scale distributed systems
Skills
Python, Go, Java, TypeScript, SQL, Distributed Systems, Backend Services, APIs, Data Pipelines, System Design
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