Job Abstract

As part of this focus on AI workloads and customers, we’re building a Data Science and ML capabilities to gain us key insights and automation into our super sophisticated and rapidly evolving world of GPU compute infrastructure. We want to drive transformative change in the business enabling us to scale our systems and processes rapidly by an order of magnitude. To do this - we are building a team that will give us end to end intelligence and actionable insights into our datacenter operations. This intelligence will help us optimize our engineering and server management processes in real time. This team will also build learning and feedback loops that enable us to automatically triage and repair complex issues that come up in the operation of these sophisticated Super Compute clusters. We also have an opportunity to drive predictive analytics in GPU datacenter operations enabling us to build order of magnitude improvements in throughput and availability of GPU workloads. This is a great opportunity to work across several engineering teams and drive transformational change that will be key to landing our growth vision in the AI space.

In this role you would lead the software development organization building out and operating this platform and work with some of the largest players in the AI space building systems that operate at unprecedented speed, scale and reliability. You should be a Data Science and ML specialist, and be able to architect broad systems interactions, while being very hands-on, able to work with and understand systems that run and operate large scale GPU data centers. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn.

Career Level - M4