XA
xAISoftware Engineer, Platform Infrastructure
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Before you apply
Salary$180k – $440k
LocationPalo Alto, CA, Palo Alto, CA
Work modeon-site
Typefull-time
SenioritySenior
DepartmentEngineering
EquityIncluded
Company size1,001–5,000 people
PostedJul 20, 2026 · 3mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
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
C
C++
Rust
Kubernetes
Docker
containerd
crio
Prometheus
Grafana
VictoriaMetrics
OpenTelemetry
Helm
GitOps
Linux
perf
gdb
strace
Wireshark
TCP/IP
Benefits
Equity
Health insurance
Vision insurance
Dental insurance
401(k)
Short term disability insurance
Long term disability insurance
Life insurance
About the company
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.
Legal
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.