Compute Optimization Researcher/Engineer
About the Team OpenAI’s infrastructure organization builds and operates the systems that power frontier AI workloads at global scale. As our compute footprint expands across first-party data centers, cloud providers, and strategic partners, efficient capacity planning and resource allocation become critical to deliveri
What this role actually needs.
About the Team OpenAI’s infrastructure organization builds and operates the systems that power frontier AI workloads at global scale. As our compute footprint expands across first-party data centers, cloud providers, and strategic partners, efficient capacity planning and resource allocation become critical to deliveri Responsibilities: - Build optimization models for compute allocation, workload scheduling, and cluster utilization. - Develop planning systems that balance supply, demand, cost, latency, and reliability constraints. - Create forecasting frameworks for GPU demand, infrastructure growth, and capacity needs. - Design decision tools for allocating compute across internal teams, products, and strategic priorities. - Partner with architecture, infrastructure engineering, finance, and operations teams to translate business needs into mathematical models. - Integrate multiple operational data sources into planning systems and optimization workflows. Requirements: - Experience with large-scale infrastructure, cloud capacity planning, or data center operations. - Familiarity with tools such as Gurobi, CPLEX, CVXPY, Pyomo, or similar solvers. - Experience optimizing GPU fleets, networking systems, or distributed compute environments. - Background in supply-demand planning, logistics, marketplace optimization, or resource scheduling. - Experience working in fast-scaling technology environments. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Compute Optimization Researcher/Engineer role.
- Build optimization models for compute allocation, workload scheduling, and cluster utilization.
- Develop planning systems that balance supply, demand, cost, latency, and reliability constraints.
- Create forecasting frameworks for GPU demand, infrastructure growth, and capacity needs.
- Design decision tools for allocating compute across internal teams, products, and strategic priorities.
- Partner with architecture, infrastructure engineering, finance, and operations teams to translate business needs into mathematical models.
- Integrate multiple operational data sources into planning systems and optimization workflows.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Experience with large-scale infrastructure, cloud capacity planning, or data center operations.
- Familiarity with tools such as Gurobi, CPLEX, CVXPY, Pyomo, or similar solvers.
- Experience optimizing GPU fleets, networking systems, or distributed compute environments.
- Background in supply-demand planning, logistics, marketplace optimization, or resource scheduling.
- Experience working in fast-scaling technology environments.
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Source: jobs.ashbyhq.com · Source ID: dfec1204-1a3a-44e3-ade9-ac1b3e64f3f4 · Confidence: 97/100 · Last checked: May 7, 2026
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