Added 2 Nov 2026 · Engineering
Job description
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.
Pay, skills & work eligibility
Compensation
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Location, eligibility & working hours
- Listed work location
- Palo Alto, CA
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.
Requirements at a glance
Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.