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Full Stack Engineer – Fleet Scheduling
| Company | OpenAI |
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| Location | San Francisco, CA, USA |
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| Salary | $325000 – $490000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level |
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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).
- Strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure (especially Azure).
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.
Preferred Qualifications
- Have experience working with Kubernetes, Docker, and cloud-native application deployment.
- Understand AI/ML workload scheduling and orchestration challenges.
- Have experience with real-time data processing, visualization libraries, and observability tooling.
