xAI

Sr. Software Engineer (Data Center Automation)

Memphis, TN · Senior

Sponsorship not specifiedDetected 36 days ago

PythonGoRustC++DockerKubernetesLinuxMachine LearningSystems EngineeringElectrical EngineeringCommunicationMentoringAdaptability

About the role

Software Engineer to join our team in managing and enhancing reliability across a multi-data center environment.
In an era where AI workloads demand near-zero downtime, this position plays a pivotal role in bridging software engineering principles with physical data center realities.
The primary objective of this team is to mitigate downtime and minimize impact to end-users from both scheduled and unscheduled maintenance, as well as events affecting onsite data centers.

Design, develop, and deploy scalable code and services (primarily in Python and Rust, with flexibility for emerging languages) to automate reliability workflows, including monitoring, alerting, incident response, and infrastructure provisioning.
Optimize Linux-based systems for performance, security, and reliability, including kernel tuning, container orchestration (e.g., Kubernetes or emerging alternatives), and scripting for automation.
This attracts candidates from varied networking and systems backgrounds to drive forward-thinking solutions.
Mentor junior team members and document processes to foster a culture of automation, knowledge sharing, and adaptability to new technologies.
If you thrive in lightning-fast, distributed environments and are passionate about leveraging automation to drive efficiency, this is an opportunity to make a significant impact on our infrastructure's resilience and scalability.

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field (or equivalent professional experience).
3+ years of hands-on experience in site reliability engineering (SRE), infrastructure engineering, DevOps, or systems engineering, preferably supporting large-scale, distributed, or production environments.
Solid experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments.
Practical knowledge of containerization and orchestration technologies, such as Docker and Kubernetes (or similar systems).
5+ years of experience in SRE or infrastructure roles, ideally in hyperscale, cloud, or AI / ML training infrastructure environments with multi-data center setups.

experience with Rust or willingness to work in Rust is a plus, but strong coding fundamentals in at least one systems-level language (e.g., Python, Go, C++) are essential.
Strong programming skills with proven production experience in Python (required for automation and tooling)

Proficiency in Rust for systems programming and performance-critical components.
Background in optimizing Linux-based systems for AI workloads, GPU clusters, or high-throughput compute environments.
Prior work with bare-metal provisioning, data center interconnects, or hybrid/multi-site failover mechanisms.
Mentoring experience, strong documentation skills, and a track record of fostering knowledge sharing and automation culture.
Comfort with rapid technology adaptation in fast-evolving domains like AI infrastructure.
This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
All employees are expected to be hands-on and to contribute directly to the company's mission.
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.

This listing is sourced directly from xAI's careers page and normalized into a canonical job model.