Senior AI Infra Engineer — GPU, Kubernetes, TS/SCI Clearance

Spacex

Hawthorne (CA)

Hybrid

USD 165,000 - 265,000

Full time

14 days+

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Job summary

SpaceX is seeking a Sr. Software Engineer for AI Infrastructure (Starshield) in Hawthorne, CA. You will design, operate, and scale GPU infrastructure supporting critical national security missions and external customers, including deploying on-prem Kubernetes clusters and AI workloads.

You will mentor engineers, collaborate with AI teams, and drive high-availability systems while navigating security clearances and demanding timelines.

Qualifications

  • 5+ years Linux-based software/DevOps/SRE experience.
  • 5+ years Kubernetes experience.
  • Bachelor’s degree or 7+ years of equivalent experience in lieu of a degree.

Responsibilities

  • 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.
  • Collaborate with AI engineers to create scalable, operable products.
  • Engage in the lifecycle of services from inception to refinement.
  • Monitor and alerting supporting systems for high availability.
  • Identify areas for improvement and create innovative solutions.
  • Mentor and train junior engineers.
  • Lead the team to technical excellence.

Skills

Python
Kubernetes
Linux
CI/CD
Build tools
Performance optimization
Distributed databases
TCP/IP
Cloud virtualization
Communications
Clearance

Education

Bachelor’s degree in CS/IS/Engineering

Tools

Bazel
Makefiles
Kubernetes

Job description

SpaceX is seeking a Sr. Software Engineer for AI Infrastructure (Starshield) in Hawthorne, CA. You will design, operate, and scale GPU infrastructure supporting critical national security missions and external customers, including deploying on-prem Kubernetes clusters and AI workloads.

You will mentor engineers, collaborate with AI teams, and drive high-availability systems while navigating security clearances and demanding timelines.

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