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Member of Technical Staff - Infrastructure Supercompute

Xai

London, UK permanent

Posted: March 20, 2026

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Quick Summary

Applying machine learning techniques to optimize the performance of xAI's infrastructure, ensuring scalability, reliability, and efficiency. As a member of our technical staff, you will work closely with cross-functional teams to identify and resolve technical issues, and develop and implement new solutions. Strong problem-solving skills and attention to detail are essential for success in this role.

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 employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

RESPONSIBILITIES:

• 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.

BASIC QUALIFICATIONS:

• Writing scalable and highly available containerized applications in Rust.

• Managing compute fleets with Pulumi, Terraform, Ansible, or other stateful automation libraries.

PREFERRED SKILLS AND EXPERIENCE:

• Kubernetes

• Pulumi

• Rust and Go

• Flux / ArgoCD

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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