5 months ago
Base Salary
$125k - $228k/yr
Responsibilities
- Design and build systems of record for Industrial Compute planning and operations.
- Develop backend services, APIs, workflows, and data platforms for capacity forecasting, allocation, deployment readiness, and operational planning.
- Connect infrastructure delivery, fleet health, capacity utilization, product demand, and financial planning into a shared operational view.
- Build scenario-modeling systems that help leaders evaluate capacity, utilization, cost, reliability, launch timing, and business tradeoffs.
- Create workflow automation and decision-support tools that improve planning accuracy and reduce operational overhead.
- Partner with Capacity Planning, Fleet Operations, Product, Finance, Infrastructure Engineering, Supply Chain, and Strategic Sourcing teams to translate workflows 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 with OpenAI’s infrastructure footprint.
Requirements
- At least 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 translate ambiguous operational challenges into scalable technical solutions in highly cross-functional environments.
- Strong ownership and ability to independently drive complex projects.
- Preferred experience with planning systems, forecasting platforms, optimization engines, decision-support tools, SQL, data warehouses, orchestration frameworks, analytics platforms, and distributed data systems.
- Preferred familiarity with infrastructure, cloud platforms, data centers, hardware deployment programs, capacity planning, supply chain systems, financial modeling, infrastructure operations, AI infrastructure, hyperscale compute, or large-scale distributed systems.
Benefits
- Hybrid work model with 3 days per week in the San Francisco office.
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.