Software Engineer Infrastructure Supercomputing
Role Overview
This senior-level Software Engineer role focuses on infrastructure and supercomputing at xAI, operating large-scale GPU clusters for AI training and production model serving. Day-to-day responsibilities include implementing Infrastructure as Code (IaC) best practices, enhancing deployment pipelines, and ensuring secure service delivery across on-premise and cloud environments. The hire will work in a small, hands-on team with a flat structure, directly impacting the reliability and scalability of critical AI systems.
Perks & Benefits
The role is based in the Bay Area (Palo Alto or San Francisco), requiring relocation or proximity, with no explicit remote work mentioned, implying an on-site or hybrid setup typical for tech roles in this region. The culture emphasizes engineering excellence, a flat organizational structure, and opportunities for leadership based on initiative and delivery, offering career growth in a highly motivated, small team environment focused on challenging projects.
Full Job Description
About xAI 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. Tech Stack
Kubernetes Pulumi Rust and Go Flux / ArgoCD
Location The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation. Focus
Operating some of the world’s largest GPU supercomputing clusters for both AI training and serving production models. Implement IaC best practices, enhancing deployment pipelines, and ensuring robust, secure service delivery across our production environments. Working with both on-premise clusters and cloud providers. Help with security best practices for internal researchers and live external traffic.
Ideal Experiences
Writing scalable and highly available containerized applications in Rust. Managing compute fleets with Pulumi, Terraform, Ansible, or other stateful automation libraries.
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