← Sottava, jobs the hour they open
Posted 3 mo agoFirst seen 23 d ago
Software Engineer, Platform Infrastructure
Posted by xAI on 20 July 2026, 105 days ago. Still on their Greenhouse board when we checked 26 min ago. Half of xAI's roles come down within 75 days.
What the posting is about
Design, build, and maintain large-scale distributed systems. Profile, debug, and optimize performance across diverse systems. Collaborate on hardware, software, and algorithm co-design. Develop tools to enhance team productivity.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentFull time
LocationPalo Alto, CA
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-07-20
Found viagreenhouse, direct from their system
We saw it 3 months after it went up.
The posting, as the company wrote it
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.
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
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)
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 .
Copied from xAI’s own board, not rewritten.
Also open at xAI
Why this page exists
We read companies’ own hiring systems every hour, 1,909 of them, and show a job the hour it opens instead of when a job board gets around to indexing it. We saw it 3 months after it went up.
The feed is free. No card, no trial to expire.
A free account first, no card