Full Stack Engineer, Fleet Scheduling
About the Team Full Stack engineers within the Fleet Scheduling team are dedicated to building intuitive and scalable interfaces that empower researchers to efficiently manage AI workloads across some of the largest supercomputers in the world. Our focus is on developing robust, high-performance systems that provide re
What this role actually needs.
About the Team Full Stack engineers within the Fleet Scheduling team are dedicated to building intuitive and scalable interfaces that empower researchers to efficiently manage AI workloads across some of the largest supercomputers in the world. Our focus is on developing robust, high-performance systems that provide re Responsibilities: - Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time. - Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends. - Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation. - Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability. - Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems. - Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure. 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 Full Stack Engineer, Fleet Scheduling role.
- Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time.
- Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends.
- Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation.
- Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability.
- Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems.
- Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure.
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Source: jobs.ashbyhq.com · Source ID: 9d11e1d8-af1d-413b-873f-d8fac2bdee99 · Confidence: 97/100 · Last checked: May 7, 2026
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