Description
ABOUT THE ROLE:
We are seeking a highly skilled Senior Infrastructure Engineer to join our US Government Team, focused on designing, building, and operating secure, scalable infrastructure for critical government projects.
In this role, you will develop and manage training and inference clusters, as well as highly reliable applications, across bare metal, classified cloud, and hybrid cloud architectures. You will leverage your expertise in Kubernetes and GPU hardware to deliver robust, secure systems that support large-scale AI workloads while meeting stringent federal compliance requirements.
RESPONSIBILITIES:
- Develop and optimize software to provision and manage xAI's infrastructure across on-premise, virtual machine, and classified cloud environments, enabling efficient scaling for US government initiatives.
- Enhance the reliability, performance, and cost-effectiveness of infrastructure to support large-scale AI and application workloads in secure, classified settings.
- Collaborate with xAI engineers to understand workload requirements and design tailored solutions that meet government-specific needs and compliance standards.
- Implement robust observability, monitoring, and security practices to ensure the integrity, availability, and confidentiality of critical systems, adhering to federal protocols.
- Manage storage infrastructure using Infrastructure-as-Code (IaC) tools such as Pulumi, Terraform, or Ansible, with a focus on secure data handling.
- Drive system reliability through incident management, postmortems, and the definition of clear SLAs and SLOs, while maintaining security and compliance.
BASIC QUALIFICATIONS:
- Active Top Secret (TS) security clearance.
- 5+ years of experience as an Infrastructure Engineer, Site Reliability Engineer, or similar role, with a focus on building and maintaining reliable, scalable systems, preferably in secure or government environments.
- Proficiency in managing storage infrastructure with IaC tools such as Pulumi, Terraform, or Ansible.
- Deep understanding of the Kubernetes stack, including CNI, CRI, CSI, and related components.
- Demonstrated ability to improve system reliability through incident management, postmortems, and defining SLAs/SLOs.
PREFERRED SKILLS AND EXPERIENCE:
- Deep familiarity with installing and using GPU hardware, including setting up drivers, debugging issues, and ensuring reliability.
- Experience with high-traffic web or mobile application workloads, including optimizing Kubernetes for large-scale deployments in classified or federal settings.
- Familiarity with chaos engineering, capacity planning, or similar practices for ensuring system resilience in government projects.
- Proficiency with tools such as Kyverno, ArgoCD, or Go programming for infrastructure automation.
COMPENSATION AND BENEFITS:
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.