OpenAI
via Himalayas
Full-Stack AI Workload Scheduler
Compensation
$85K - 130K a year
Responsibilities
Design and develop web-based systems for managing AI workloads on supercomputers.
Requirements
Collaborate with researchers and product teams to build scalable, user-friendly AI infrastructure tools.
Full 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. #J-18808-Ljbffr
This job posting was last updated on 4/23/2026
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