Software Engineer - Platform Infrastructure (Rust, C++)
SpaceXAI · On-site
MeritLog read this listing from SpaceXAI's Greenhouse job board and last checked it on September 8, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- $180,000 – $440,000
- Location
- Palo Alto, CA
- Occupation
- Software Developers(O*NET 15-1252.00)
Hiring context
How this role compares at SpaceXAI
SpaceXAI has 254 live roles in MeritLog’s catalog across 9 job families, and 69 of them are in engineering. 3 of those listings publish a pay range, a disclosure rate of 1%.
SpaceXAI concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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.
What they're asking for
- Systems programming experience in C, C++, or RustSkill
- Computer systems fundamentals with a grasp of how computers execute code from transistors to high-level applications.Skill
- Hands-on expertise with Kubernetes (K8s), including cluster architecture, pod lifecycle, networking (CNI), storage (CSI), service mesh, and production-grade operationsSkill
- Collaborate in a fast-paced, open environment to design and foundational systems.SkillPreferred
- Strong debugging skills across the full stack - from kernel and OS up through container orchestration layersSkillPreferred
- Deep knowledge of operating systems internals (process scheduling, memory management, file systems, and synchronization primitives)SkillPreferred
- Proficiency in performance analysis, profiling, and low-level optimization techniquesSkillPreferred
- Solid understanding of computer networks and the TCP/IP stackSkillPreferred
- Experience working with Linux kernel concepts or systems-level debugging tools (e.g., perf, gdb, strace, Wireshark)SkillPreferred
- Proficiency deploying and managing workloads using Kubernetes manifests, Helm, Operators, and GitOps workflowsSkillPreferred
- Solid understanding of containerization technologies (Docker, containerd, crio) and their interaction with the Linux kernelSkillPreferred
- Experience with observability and monitoring in distributed systems (Prometheus, Grafana, VictoriaMetrics, OpenTelemetry, or similar)SkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. 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 • 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) COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
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