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About the Role

In this role, you'll focus on our clusters and associated infrastructure. You’ll be an early engineer on a rapidly growing product-line and write code that automatically provisions and manages large fleets of compute.

Responsibilities

Build reliable systems for managing and sharing compute across clouds.
Implement scheduling algorithms to maximize GPU utilization.
Design and implement highly-available systems that route around hardware faults and swap in hot spares for a pristine user experience on unreliable hardware.
Implement wraparound monitoring and alerting for high availability.
Own future directions for Clusters, including autonomous remediation, self-serve operations, and bare-metal provisioning.

Requirements

Deep understanding of Kubernetes and related technology.
Take a product-focused approach to platform work, building robust, scalable, and user-friendly solutions.
Experience with cluster virtualization technology like k3k or vCluster is a bonus.

Location

San Francisco

Work Type

Onsite

Benefits

All meals provided
Studio Display at desk
Investment in time-saving tools
Multiple coffee and tea options
Occasional office cat visits

About the Company

Sail builds the world's most efficient software for inference (processing LLM tokens) and agent hosting (cloud VMs).
Our technologies allow customers to deploy AI agents at extreme scale for their most ambitious work.