Full Stack Engineer, Fleet Scheduling

About this role

Build web-based interfaces and backend systems for managing AI workloads across OpenAI's supercomputing clusters. This full-stack role involves creating scalable, real-time monitoring and job scheduling tools that help researchers efficiently manage exascale infrastructure while maintaining high performance and usability.

What you'll do

• Design and develop full-stack web applications for tracking and managing large-scale AI workloads in real time
• Build data visualization tools like Gantt charts and dashboards for job scheduling and resource allocation insights
• Optimize backend services to handle massive data throughput with low-latency performance
• Implement frontend components for seamless interactions with scheduling and compute systems
• Collaborate with researchers and infrastructure teams to translate operational needs into intuitive interfaces
• Ensure system security, reliability, and scalability across distributed supercomputing infrastructure

What they're looking for

• Full-stack web development
• Modern frontend frameworks (React, Vue, or Angular)
• Backend technologies (Python, Go, or Node.js)
• RESTful and GraphQL APIs
• Cloud infrastructure (Azure)
• Kubernetes and Docker
• Real-time data processing and visualization
• Distributed systems and databases

Benefits

• Hybrid work model with 3 days in office per week
• Based in San Francisco, CA
• Relocation assistance for new employees
• Work on cutting-edge AI infrastructure
• Collaborative environment with researchers and infrastructure teams