Jobs / SpaceX
Site Reliability Engineer, AI Infrastructure (Starshield)
SpaceX · Washington, DC, United States
Washington, DC, United StatesExp: 1+ yrs125,000-195,000 USD/yearlyRemote
Remuneration
125,000-195,000 USD/yearly
Location
Washington, DC, United States
Visa sponsorship
Not specified
Job summary
The Site Reliability Engineer for AI Infrastructure will design, operate, and scale the infrastructure supporting critical national security missions related to the Starshield satellite constellation. Key responsibilities include managing GPU/CPU infrastructure deployments, developing automation for Kubernetes and AI clusters, and collaborating with AI engineers to create scalable products that ensure high system availability.
Benefits
Comprehensive medical coverageVision coverageDental coverage401(k) retirement planShort and long-term disability insuranceLife insurancePaid parental leave3 weeks of paid vacation10 or more paid holidays per yearPaid sick leave
Qualifications
- 1+ years of professional experience with Linux operating systems
- Experience with Terraform, Ansible, or other infrastructure tools
- Experience with containerization technologies (i.e. OCI containers, Kubernetes)
- Development experience in Python, C++, or Go
- 1+ years of experience with Python and Python-based development frameworks
- Knowledge of Linux boot process and systems configuration
- Deep understanding of testing, continuous integration, build, deployment, and continuous monitoring
- Understanding of relevant build technologies, such as Bazel and Makefiles
- Understanding of distributed databases and data modeling
- Experience with automatically managing thousands of servers (e.g., Terraform or Ansible)
- Excellent communication skills for interaction with customers, peers, and management
Responsibilities
- Manage GPU/CPU infrastructure deployments to Top Secret datacenters
- Manage and provide support for GPU as a service for external customers on bare metal hardware and virtualized platforms
- Design, validate, and productize solutions for AI clusters (100k+ GPU scale)
- Develop automation to deploy and manage on-premise Kubernetes/AI clusters and operating systems
- Deploy and manage core infrastructure such as databases, monitoring, and distributed storage
- Closely collaborate with AI engineers to create highly scalable, operable, and maintainable products
- Engage in and improve the whole lifecycle of services
- Monitor and alert supporting systems to ensure high availability
- Identify areas for improvement and create innovative solutions for high system availability
Skills
AnsibleBashBazelC++GoKubernetesLinuxOracle CloudPythonTerraform
Certifications
Top Secret Security Clearance
Degrees
Bachelor's degree in computer scienceInformation systems/ITEngineering discipline
Travel
DomesticallyGlobally
Security clearance
Top SecretTop Secret SCIDOE Level Q
Relocation
No