xAI · Foundation models

Software Engineer, Platform Infrastructure

  • Palo Alto

AI roleMLOpsML platform

Still open on xAI's site · checked just now

Posted

What you'll do

As written by xAI · Read the original

RESPONSIBILITIES

  • Design, build, and implement a large-scale distributed system that powers one of the world's largest supercomputing clusters
  • Dive into the low-level stack to profile, debug, and optimize performance across diverse systems, including GPUs, Linux kernel, networking, and filesystems, to achieve peak efficiency
  • Collaborate on hardware, software, and algorithm co-design to push the boundaries of AI training
  • Maintain and innovate on our codebase to ensure scalability and reliability
  • Develop tools to enhance team productivity and streamline workflows

Requirements

BASIC QUALIFICATIONS

  • Systems programming experience in C, C++, or Rust
  • Hands-on experience with Kubernetes (K8s), including cluster architecture, pod lifecycle, networking (CNI), storage (CSI), service mesh, and production-grade operations

PREFERRED SKILLS AND EXPERIENCE

  • Computer systems fundamentals with a grasp of how computers execute code from transistors to high-level applications
  • Collaborate in a fast-paced, open environment to design and foundational systems
  • Strong debugging skills across the full stack — from kernel and OS up through container orchestration layers
  • Deep knowledge of operating systems internals (process scheduling, memory management, file systems, and synchronization primitives)
  • Proficiency in performance analysis, profiling, and low-level optimization techniques
  • Solid understanding of computer networks and the TCP/IP stack
  • Experience working with Linux kernel concepts or systems-level debugging tools (e.g., perf, gdb, strace, Wireshark)
  • Proficiency deploying and managing workloads using Kubernetes manifests, Helm, Operators, and GitOps workflows
  • Solid understanding of containerization technologies (Docker, containerd, crio) and their interaction with the Linux kernel
  • Experience with observability and monitoring in distributed systems (Prometheus, Grafana, VictoriaMetrics, OpenTelemetry, or similar)

Skills

Stack

  • C++
  • Rust
  • Kubernetes
  • Docker

Working languages

English

Salary & benefits

COMPENSATION AND BENEFITS

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Company

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