Full-Stack AI Workload Scheduler

OpenAI; San Francisco (CA); Hybrid; USD 325,000 - 490,000; Full time

Job summary

An innovative firm is seeking a Full Stack Engineer to join their Fleet Scheduling team. This role involves designing and developing web-based systems that enhance the management of AI workloads across powerful supercomputers. You'll collaborate with researchers and product teams to create user-friendly interfaces and scalable solutions that ensure efficient resource allocation and system transparency. This is a unique opportunity to work at the forefront of AI infrastructure, contributing to tools that handle exascale workloads while maintaining high usability and performance. If you're passionate about technology and eager to make an impact, this role is for you.

Qualifications

• Significant experience in full-stack development with modern frontend frameworks.
• Strong understanding of RESTful and GraphQL APIs and distributed databases.

Responsibilities

• Design and develop full-stack web applications for AI workload management.
• Collaborate with teams to create intuitive UIs and scalable backends.
• Build data visualization tools for insights into job scheduling.

Skills

Full-stack development

Frontend frameworks (React, Vue, Angular)

Backend technologies (Python, Go, Node.js)

RESTful and GraphQL APIs

Distributed databases

Cloud infrastructure (Azure)

Usability and performance optimization

Data visualization

Tools

Kubernetes

Docker

Real-time data processing tools

Visualization libraries

Observability tooling

Job description

An innovative firm is seeking a Full Stack Engineer to join their Fleet Scheduling team. This role involves designing and developing web-based systems that enhance the management of AI workloads across powerful supercomputers. You'll collaborate with researchers and product teams to create user-friendly interfaces and scalable solutions that ensure efficient resource allocation and system transparency. This is a unique opportunity to work at the forefront of AI infrastructure, contributing to tools that handle exascale workloads while maintaining high usability and performance. If you're passionate about technology and eager to make an impact, this role is for you.