Site Reliability Engineer, AI Infrastructure (Starshield)
SpaceX•Hawthorne, CA
•Onsite
About The Position
As an engineer focused on Starshield's software and GPU infrastructure, you will design, operate and scale the infrastructure that supports critical national security missions. These positions cover a variety of areas ranging from Site Reliability Engineering, Developer Operations, and GPU platforms. You will develop automation to deploy and manage on-premise compute resources, create highly scalable and maintainable software products, and directly collaborate with engineering across the board.
Requirements
- Bachelor’s degree in computer science, information systems/IT, or an engineering discipline and 1+ years of professional experience in site reliability engineering or DevOps; OR 3+ years of professional experience in site reliability engineering or DevOps in lieu of a degree
- 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)
- Experience scripting in Bash, Python, or other similar languages
- Development experience in Python, C++, or Go
Nice To Haves
- 1+ years of experience with Python and Python-based development frameworks
- Experience managing Kubernetes clusters, not just using them
- Knowledge of Linux boot process and systems configuration
- Deep understanding of testing, continuous integration, build, deployment & continuous monitoring
- Understanding of relevant build technologies, such as Bazel and Makefiles
- Focus on performance bottlenecks and performance improvement techniques
- Understanding of distributed databases and data modeling
- Experience with automatically managing thousands of servers (eg: Terraform or Ansible)
- Strong networking knowledge of TCP/IP
- Cloud virtualization experience (as the cloud provider)
- Experience using NVIDIA GPU deployment stacks (Blackwell/Rubin)
- Excellent communications skills with the ability to communicate with customers, peers, management etc. in both formal and informal situations
- Active Top Secret, Top Secret SCI, or DOE Level Q clearance
Responsibilities
- Manage GPU/CPU infrastructure deployments to Top Secret data centers
- 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 -- from inception and design, through deployment, operation and refinement
- Monitoring and alerting supporting systems to have high availability
- Identify areas for improvement and create innovative solutions that enable high system availability
Benefits
- long-term incentives, in the form of company stock or long-term cash awards
- potential discretionary bonuses
- Employee Stock Purchase Plan
- comprehensive medical, vision, and dental coverage
- 401(k) retirement plan
- short and long-term disability insurance
- life insurance
- paid parental leave
- various other discounts and perks
- 3 weeks of paid vacation
- 10 or more paid holidays per year
- paid sick leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
