Full Stack Engineer, Fleet Scheduling

San Francisco, United StatesHybrid

You are nearing today's limit. Upgrade for unlimited access.

Responsibilities

- 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.
- Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems.
- Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure.

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.
About the Role You will design, develop, and operate web-based systems that provide a powerful and intuitive interface to OpenAI’s supercomputing clusters.
This is an opportunity to work at the cutting edge of AI infrastructure, designing tools that scale to exascale workloads while maintaining usability and performance.
you will: - Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time.
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).
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.
About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence

Our focus is on developing robust, high-performance systems that provide real-time insights, resource tracking, and seamless interaction with complex infrastructure.
We aim to optimize resource allocation, minimize operational overhead, and create user-friendly tools that enhance researcher productivity and system transparency.
You will collaborate closely with researcher, product and infrastructure teams to deliver scalable solutions that enable seamless monitoring, job scheduling, and resource management.
We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role,
- Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability.
You might thrive in this role if you: - Significant
- Experienced in building scalable, high-performance web applications for complex distributed systems.
- 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.