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OpenAIOpenAI

Full Stack Engineer, Fleet Scheduling

Develops full-stack web applications for real-time monitoring, job scheduling, and resource management of AI supercomputing workloads. Requires expertise in modern frontend/backend technologies, APIs, distributed systems, and cloud infrastructure.

About the job

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.

Requirements

  • Significant experience in full-stack development, with expertise in modern frontend frameworks (React, Vue, or Angular) and backend technologies (Python, Go, or Node.js).
  • Experienced in building scalable, high-performance web applications for complex distributed systems.
  • Strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure (especially Azure).
  • Execution-focused with a keen eye for usability, performance, and scalability in enterprise-scale systems.
  • Comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.

Nice-to-Haves

  • Experience working with Kubernetes, Docker, and cloud-native application deployment.
  • Understand AI/ML workload scheduling and orchestration challenges.
  • Experience with real-time data processing, visualization libraries, and observability tooling.

Skills

React, Vue, Angular, Python, Go, Node.js, REST APIs, GraphQL, Kubernetes, Docker, Azure

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