Network Deployment Automation Lead - xAI Networking

xAI•Palo Alto, CA

49d•Onsite

About The Position

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. xAI is building at a furious pace with the latest hardware to help people understand the universe. We are in need of a Network Deployment Engineer that has spent the last 8 years automating away human cycles required to build and maintain hyper scale production networks that reside in data centers. You will own xAI's network deployment speed and accuracy, creating automation, workflows and dashboards leveraging our modelling, source of truth and provisioning software systems. Your tools will be used by the team and technicians to build tens of thousands of devices and millions of links for our different data center and backbone topologies. Then, your tooling will keep the network perpetually consistent for configuration and operating system versions, from simple deploy and forget to complex sequencing for topology changes. You will help us remove tens of thousands of repetitive human cycles a year and keep our team small and nimble.

Requirements

8+ years of experience in using python to automate hyper scale networks.
10+ years in the networking industry.
3+ years in a team lead role.
Understanding of networking topologies, protocols and best practices (e.g., BGP, OSPF, ROCEv2 etc.).

Nice To Haves

Experience in AI/ML infrastructure or large-scale GPU clusters.
Strong problem-solving skills and ability to thrive in a fast-paced, ambiguous setting.

Responsibilities

Liaise with engineers from different teams to build strategies and roadmaps that will address short term needs while ensuring a long term vision is met.
Use python to create an ecosystem of tools and dashboards that onsite technicians can use to build our network products and maintain it with minimal human cycles.

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