xAI
Software Engineer, Platform Infrastructure
$180K–$440K
Palo Alto, CA · Full-time · Posted Jul 20, 2026
About the job
Designs and optimizes distributed infrastructure for a large-scale supercomputing cluster used in AI training.
What you'll do
- Build and maintain scalable, reliable distributed systems for the supercomputing cluster.
- Profile, debug, and optimize performance across GPUs, Linux, networking, and filesystems.
- Collaborate on hardware, software, and algorithm co-design, and develop tools to improve team productivity.
What they ask for
- Systems programming experience in C, C++, or Rust.
- Hands-on Kubernetes experience, including cluster architecture, pod lifecycle, networking, storage, service mesh, and production operations.
Nice to have
- Strong systems fundamentals and full-stack debugging skills, including operating systems, networking, and performance optimization.
- Experience with Linux debugging tools, Kubernetes deployment workflows, containers, or distributed-systems observability.
Pay
$180,000 - $440,000 USD (base salary)
Tools
C, C++, Rust, Kubernetes (K8s), Linux kernel, Helm, Docker, Prometheus
AI focus
Supports AI training by building supercomputing infrastructure and collaborating on hardware, software, and algorithm co-design.
Model-written summary · the original posting is authoritative