AI Infrastructure Engineer — GPU & On‑Prem Systems

InvestedintheMission; Palo Alto (CA); On-site; USD 125,000 - 195,000; Full time

Benefits offered by this job

Stock options

Health benefits

401(k)

Paid time off

Job summary

SpaceX in Palo Alto is seeking a Software Engineer for AI infrastructure within the Starshield program. You will design, operate, and scale on‑premise GPU and AI clusters, deploying Kubernetes, databases, and distributed storage to support national security missions.

The role emphasizes automation, collaboration with AI engineers, and building highly available services across data centers; requires TS clearance or ability to obtain, and willingness for extended hours and travel.

Qualifications

• Bachelor’s degree in computer science, information systems/IT, or engineering with 1+ years in SRE/DevOps or 3+ years without a degree.
• 1+ years of Linux experience and scripting (Bash, Python).
• Experience with Terraform, Ansible, or similar infra tools; containerization with Kubernetes.
• Development experience in Python, C++, or Go.

Responsibilities

• Manage GPU/CPU infrastructure deployments to Top Secret data centers.
• Provide GPU as a service for external customers on bare metal and virtualized platforms.
• Design and productize AI cluster solutions at 100k+ GPU scale.
• Develop automation to deploy and manage on-premise Kubernetes/AI clusters and OSes.
• Deploy and manage databases, monitoring, and distributed storage.
• Collaborate with AI engineers to build scalable, operable products.
• Improve the full lifecycle: design, deployment, operation and refinement.
• Ensure high availability with monitoring and alerting.

Skills

Linux experience

Infrastructure automation

Python

Go

C++

Bash scripting

Strong communications

Top Secret clearance

Education

Bachelor's degree in CS or engineering

Tools

Terraform

Ansible

Kubernetes

Job description

SpaceX in Palo Alto is seeking a Software Engineer for AI infrastructure within the Starshield program. You will design, operate, and scale on‑premise GPU and AI clusters, deploying Kubernetes, databases, and distributed storage to support national security missions.

The role emphasizes automation, collaboration with AI engineers, and building highly available services across data centers; requires TS clearance or ability to obtain, and willingness for extended hours and travel.