Member of Technical Staff - Clusters

Sail Research Inc.; San Francisco (CA); In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Sail Research Inc. is building the future of AI infrastructure in San Francisco. We’re seeking an engineer to own and scale our Clusters platform, focusing on autonomous remediation, bare-metal provisioning, and cross-cloud compute management.

You’ll write code to provision and manage large fleets of GPUs, design robust, scalable systems, and implement scheduling to maximize utilization while delivering a pristine user experience even on unreliable hardware.

Competenze

• Strong knowledge of Kubernetes and cloud infrastructure.
• Experience building scalable, fault-tolerant clusters.

Mansioni

• Build reliable systems to manage and share compute across clouds.
• Implement scheduling algorithms to maximize GPU utilization.
• Design highly-available components resilient to hardware faults.
• Implement monitoring and automations for high availability.
• Own future direction for clusters including autonomous remediation and bare-metal provisioning.

Conoscenze

Kubernetes

Distributed systems

Product-focused platform

Cluster virtualization

Descrizione del lavoro

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

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.

What you’ll do

• Build a reliable systems that let us manage and share compute across clouds

• Implement scheduling algorithms that maximize GPU utilization

• Design and implement highly-available systems that route around hardware faults and swap in hot spares to deliver users are pristine experience on unreliable hardware

• Implement wraparound monitoring and altering to ensure high availability

• Own future directions for Clusters (fully autonomous remediation, self-serve ops, bare-metal provisioning, etc.).

What we’re looking for

• Deep understanding of Kubernetes and related technology.

• You take a product-focused approach to platform work and care deeply about building solutions that are robust, scalable, and ergonomic for users.

• Bonus: experience with cluster virtualization technology like k3k or vCluster.

Interview process

1. Meet the CTO, who will ask about your experience and share as much detail about Sail as you want to hear.

2. Meet an engineer on Clusters team, and talk about the problems they work on. This will also be an opportunity to ask any questions about the Sailbox product and team.

3. Come in to Sail's SF office for an interview day. Meet the whole team, then you'll have 3-4 hours to design and implement a solution to a problem that closely simulates the work we do daily. AI assistance is highly encouraged, and we'll provide a laptop with all the best tools set up. Finish with a short presentation describing your process, learnings, and results.

4. Offer. Once the team decides we want to work with you, we make a strong offer quickly and will be quite persistent over email/text/calls :)

Life at Sail

We work out of a beautiful, sunny office in downtown San Francisco. All meals are on us (and actually great; SF is a food paradise and it would be a shame to eat only bowl slop). Everyone gets a Studio Display at their desk. We are serious about investing in anything that saves us time or energy. There are six different ways to make coffee or tea in the office. A friendly (hypoallergenic) black cat named Coco visits occasionally.