AI Infra Engineer: Scale GPU Clusters & On-Prem AI

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

Benefits offered by this job

Stock options

Long-term incentives

Medical, vision & dental

401(k) retirement plan

Paid parental leave

3 weeks vacation

10+ paid holidays

Sick leave

Job summary

SpaceX is seeking a Software Engineer for AI Infra (Starshield) to design, deploy, and scale GPU/CPU infrastructure across Top Secret data centers. You will automate on-premise Kubernetes AI clusters and supporting OS environments, while collaborating closely with AI engineers to deliver highly scalable products.

The role covers Site Reliability Engineering, DevOps, and GPU platforms with extensive automation, monitoring, and performance optimization.

Qualifications

• Bachelor’s degree in a computing/engineering field or equivalent experience.
• 1+ years of professional SRE/DevOps; or 3+ years without a degree.
• Experience with Linux systems and scripting (Bash, Python, etc.).
• Hands-on with Terraform, Ansible, Kubernetes; containerized apps.

Responsibilities

• Manage GPU/CPU infrastructure deployments to Top Secret data centers.
• Provide GPU-as-a-service support on bare metal and virtualized platforms.
• Design, validate, and productize AI cluster solutions at scale.
• Develop automation for on-premise Kubernetes AI clusters and OSs.
• Deploy and manage databases, monitoring, and distributed storage.
• Collaborate with AI engineers to build scalable, maintainable products.
• Oversee full service lifecycle from design to operation and refinement.
• Maintain monitoring and alerting for high availability.
• Identify improvements and implement innovative high-availability solutions.

Skills

SRE/DevOps

Linux

Python

Go

C++

Bash

Troubleshooting

Performance optimization

Education

Bachelor's degree in CS or related field

Tools

Terraform

Ansible

Kubernetes

OCI containers

Job description

SpaceX is seeking a Software Engineer for AI Infra (Starshield) to design, deploy, and scale GPU/CPU infrastructure across Top Secret data centers. You will automate on-premise Kubernetes AI clusters and supporting OS environments, while collaborating closely with AI engineers to deliver highly scalable products.

The role covers Site Reliability Engineering, DevOps, and GPU platforms with extensive automation, monitoring, and performance optimization.