Compute Optimization Researcher/Engineer

📋 Description

• • The Compute Optimization Researcher/Engineer role at OpenAI focuses on building systems that maximize the value of global compute capacity by developing models and decision systems for efficient resource allocation across data centers, cloud providers, and strategic partners.
• • Day to day, you will build optimization models for compute allocation and workload scheduling, develop planning systems balancing supply, demand, cost, latency, and reliability, create forecasting frameworks for GPU demand and infrastructure growth, design decision tools for allocating compute across teams and products, partner with architecture, infrastructure, finance, and operations teams, integrate operational data sources into planning workflows, improve utilization of GPUs, networking, power, cooling, and storage, analyze tradeoffs across first-party and hybrid environments, build dashboards and metrics for capacity decisions, lead cross-functional initiatives to improve infrastructure efficiency, present recommendations to technical leaders and executives, and refine models based on evolving workloads and business priorities.
• • The Compute Optimization team sits at the intersection of engineering, operations, finance, and infrastructure strategy within OpenAI’s infrastructure organization, which builds and operates systems powering frontier AI workloads at global scale.
• • In this role, you will deepen expertise in large-scale optimization, infrastructure analytics, and cross-functional systems thinking while contributing directly to the efficiency and scalability of OpenAI’s AI infrastructure, with opportunities to influence high-stakes resource decisions and advance expertise in applied mathematical modeling for real-world compute challenges.