Staff Engineer, Clusters & AI Infra (Kubernetes)

Theory Ventures; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

SF office

Meals provided

Studio Display at desk

Job summary

Sail builds the world's most efficient software for inference and agent hosting. You’ll be an early engineer on our Clusters team in San Francisco, writing code to provision and manage large fleets of compute across clouds.

You’ll design scalable, robust systems with focus on high availability, GPU utilization, and self-serve operations, while exploring autonomous remediation and bare-metal provisioning. Join a tight-knit team in SF for a pivotal early-stage role.

Qualifications

• Deep understanding of Kubernetes and related technology.
• You take a product-focused approach to platform work and care deeply about building robust, scalable, ergonomic solutions.

Responsibilities

• Build a reliable system to manage and share compute across clouds.
• Implement scheduling algorithms that maximize GPU utilization.
• Design highly available systems that route around hardware faults and swap in hot spares for a pristine user experience.
• Implement wraparound monitoring and alerting to ensure high availability.
• Own future directions for Clusters (autonomous remediation, self-serve ops, bare-metal provisioning).

Skills

Kubernetes

Platform engineering

Robust design

User ergonomics

Tools

k3k

vCluster

Job description

Sail builds the world's most efficient software for inference and agent hosting. You’ll be an early engineer on our Clusters team in San Francisco, writing code to provision and manage large fleets of compute across clouds.

You’ll design scalable, robust systems with focus on high availability, GPU utilization, and self-serve operations, while exploring autonomous remediation and bare-metal provisioning. Join a tight-knit team in SF for a pivotal early-stage role.