# Full Stack Engineer, Fleet Scheduling

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Salary:** $230k – $490k/yr
**Skills:** React, Vue, Angular, Python, Go, Node.js, REST APIs, GraphQL, Kubernetes, Docker, Azure
**Posted:** 2025-02-06

> 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.

## Job Description

## 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.

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**Apply:** https://hotfix.jobs/jobs/1a86b707-5c3e-44b6-a780-cdbd65478609
**Canonical:** https://hotfix.jobs/jobs/1a86b707-5c3e-44b6-a780-cdbd65478609