Software Engineer, Infrastructure - X

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

About the role

We’re looking for exceptional infrastructure engineers to redefine what is possible in large-scale AI infrastructure and build the supercomputing platform that powers xAI’s ambitious goals. The initial 200,000 GPU phase of the Colossus supercluster in Memphis was only the beginning of xAI’s infrastructure roadmap, and we need world-class infra engineers to build the future of large-scale AI.

As a Software Engineer on the Infrastructure team, you’ll work across multiple workstreams to design, build, and maintain cutting-edge distributed systems that enable our developers to scale our compute and data platforms and ensure efficiency, reliability, and performance at an unprecedented scale.

This role offers the opportunity to shape the backbone of xAI’s technology.

What You'll Do

• Enhance developer experience by modernizing build systems, reducing build times, and implementing tools like Bazel in a monorepo environment. Design and improve CI/CD pipelines using Buildkite, Argo, and Kubernetes, create developer portals, and assist application teams in migrating to Kubernetes while defining the next-generation tech stack.


• Scale compute infrastructure on Kubernetes by building controllers, admission plugins, and supporting systems that empower teams to leverage Kubernetes effectively.


• Design and maintain one of the largest traffic shaping and load balancing deployments using Envoy, while building service meshes and service discovery systems to handle massive scale.


• Scale data platforms and observability systems (logging, tracing, metrics) to support exabyte-scale data processing and provide deep insights into system performance.


• Drive reliability, standardization, and performance by building and refining systems with a pedantic focus on quality and scalability.


• Manage and optimize large-scale storage systems, including key-value stores, relational databases, and network file systems or object stores (open-source, cloud-managed, and in-house solutions).


• Contribute to miscellaneous quality-of-life improvements that empower developers and streamline workflows.

Who You Are

• 2+ years of industry experience working with large-scale, high-throughput distributed systems, compute platforms, or data infrastructure.


• Proficient in Golang, Rust, Python, or similar languages.


• (Optional) Familiarity with modern developer tools (Bazel, Buildkite, Argo, Kubernetes), service meshes (Envoy), or observability frameworks.


• (Optional) Experience with large-scale storage systems (KV stores, RDBMS, object stores) or Kubernetes ecosystem development (controllers, plugins).


• Passionate about reliability, performance optimization, and building systems that scale seamlessly.

Tech Stack

• Golang, Python, Rust, gRPC


• Kubernetes, Bazel, Buildkite, Argo, Envoy


• Observability tools, service meshes, and large-scale storage systems

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:

1. Coding assessment in a language of your choice.


2. Systems hands-on: Demonstrate practical skills in a live problem-solving session.


3. Project deep-dive: Present your past exceptional work to a small audience.


4. Meet and greet with the wider team.

Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.

Location

The role is based in Palo Alto. Candidates are expected to be located near the Bay Area or open to relocation.

Annual Salary Range

$180,000 - $440,000 USD

xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For Los Angeles County (unincorporated) Candidates:

xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment:

• Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;


• Interacting with internal and/or external clients and colleagues; and


• Exercising sound judgment.