Platform Infra Engineer (Rust/C++) — Distributed Systems

SpaceXAI

Palo Alto (CA)

On-site

USD 180,000 - 440,000

Full time

14 days+

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Benefits offered by this job

Equity
Medical coverage
401(k) plan
Disability insurance

Job summary

SpaceXAI is hiring a Software Engineer for Platform Infrastructure to design and implement a large-scale distributed system powering AI training across GPUs and Linux kernels. You’ll optimize performance, collaborate on hardware/software co-design, and maintain robust tooling for reliability and throughput.

The role requires deep systems programming skills in C/C++/Rust and hands-on Kubernetes expertise, with a focus on scalable, production-grade infrastructure and observability.

Qualifications

  • Experience with systems programming across the stack, from kernels to user space.
  • Strong grasp of modern container orchestration and Linux kernel concepts.
  • Hands-on experience with Kubernetes and production-grade operations.

Responsibilities

  • Design, build, and implement a large-scale distributed system enabling AI training at scale.
  • Profile, debug, and optimize performance across GPUs, Linux kernel, networking, and filesystems.
  • Collaborate on hardware, software, and algorithm co-design to push AI training boundaries.
  • Maintain and evolve the codebase to ensure scalability and reliability.
  • Develop tools to boost team productivity and workflow efficiency.

Skills

Systems programming
C/C++/Rust
OS internals

Tools

Kubernetes
Docker
containerd
crio
Perf/GDB/Strace
Prometheus/Grafana

Job description

SpaceXAI is hiring a Software Engineer for Platform Infrastructure to design and implement a large-scale distributed system powering AI training across GPUs and Linux kernels. You’ll optimize performance, collaborate on hardware/software co-design, and maintain robust tooling for reliability and throughput.

The role requires deep systems programming skills in C/C++/Rust and hands-on Kubernetes expertise, with a focus on scalable, production-grade infrastructure and observability.

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