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# Software Engineer - Platform Infrastructure (Rust, C++)

- **Company:** SPACEXAI LLC
- **Location:** Bellevue, WA, United States
- **Salary:** $180,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Profiling, Computer Networks, Software Debugging, File Systems, Distributed Systems, Memory Management, Linux Kernel, Prometheus, System Programming, TCP/IP, Wireshark, Graphics Processing Unit (GPU), Istio, Grafana, Perf (Linux), Containerization, Kubernetes, Information Technology, Optimization Algorithms, Docker
- **Published:** July 21, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3328134657&tx=FR2724FFG&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates., * Systems programming experience in C, C++, or Rust

 * Computer systems fundamentals with a grasp of how computers execute code from transistors to high-level applications.
 * Hands-on expertise with Kubernetes (K8s), including cluster architecture, pod lifecycle, networking (CNI), storage (CSI), service mesh, and production-grade operations

PREFERRED SKILLS AND EXPERIENCE:

 * 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)

## Description

* 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.


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