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Full Stack Engineer, Fleet Scheduling

OpenAI

Full Stack Engineer, Fleet Scheduling is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $230k–$490k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$230k–$490k
Workplace
On-site
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

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 wo

  • Function: Full-stack
  • Seniority: mid
  • python
  • react
  • node
  • azure
  • graphql
  • vue

Location & pay

On-site · San Francisco · California · United States Listed pay on Jobrow: $230k–$490k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

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. 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. About the Role You will design, develop, and operate web-based systems that provide a powerful and intuitive interface to OpenAI’s supercomputing clusters. You will collaborate closely with researcher, product and infrastructure teams to deliver scalable solutions that enable seamless monitoring, job scheduling, and resource management. 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. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - 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. You might thrive in this role if you: - 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 us

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