Senior Platform Infra Engineer — Scalable AI Supercompute

Maven Ventures

Palo Alto (CA)

On-site

USD 180,000 - 330,000

Full time

14 days+

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Benefits offered by this job

Equity
Health, Vision, and Dental insurance
401(k) retirement plan
Disability insurance
Life insurance
Employee discounts

Job summary

SpaceXSI is building a large-scale distributed system powering one of the world’s largest supercomputing clusters. You will dive into the low-level stack to profile, debug, and optimize performance across GPUs, Linux kernel, networking, and filesystems to achieve peak efficiency.

You will collaborate with hardware, software, and algorithm teams to push AI training boundaries, maintain scalable codebases, and develop tools to boost team productivity in a fast-paced environment.

Qualifications

  • 5+ years of systems programming experience in C, C++, or Rust.
  • Experience with Kubernetes (cluster architecture, pod lifecycle, networking, storage, service mesh, and production-grade operations).
  • Strong debugging skills across the full stack from kernel to container orchestration.

Responsibilities

  • Design, build, and implement a large-scale distributed system.
  • Profile, debug, and optimize performance across GPUs, Linux kernel, networking, and filesystems.
  • Collaborate on hardware-software co-design to push AI training boundaries.
  • Maintain and innovate on codebase for scalability and reliability.
  • Develop tools to enhance team productivity and streamline workflows.

Skills

Systems programming
C/C++/Rust
Kernel/OS internals
Performance analysis
Networking (TCP/IP)

Tools

Kubernetes
Docker
Helm
GitOps

Job description

SpaceXSI is building a large-scale distributed system powering one of the world’s largest supercomputing clusters. You will dive into the low-level stack to profile, debug, and optimize performance across GPUs, Linux kernel, networking, and filesystems to achieve peak efficiency.

You will collaborate with hardware, software, and algorithm teams to push AI training boundaries, maintain scalable codebases, and develop tools to boost team productivity in a fast-paced environment.

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