Member Of Technical Staff - Compute Infrastructure

xAI

Palo Alto, CA, US
Base: $180,000 - $440,000 usd; bonus/equity: equit...
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Deep low-level systems programming c/c++ or rust
Experience with large-scale gpu clusters
Hands-on work with gpu kernel optimization
** xAI is seeking a Member of Technical Staff for their Compute Infrastructure team, focused on building and optimizing a world-class AI supercomputer. The role requires expertise in GPU clusters, low-level systems programming, and Linux kernel internals, while offering a competitive compensation package and a dynamic, hands-on work environment. **

Job Summary

  • xAI is building one of the world's largest AI supercomputers from the ground up to accelerate Grok's training speed.
  • The role involves owning both the raw GPU supercomputer and the platform layer, working across the full stack from kernel optimizations to orchestration.
  • Compensation ranges from $180,000 to $440,000 USD base salary plus equity and comprehensive benefits.

Matching Summary

Match Score: 75

** xAI is seeking a Member of Technical Staff for their Compute Infrastructure team, focused on building and optimizing a world-class AI supercomputer. The role requires expertise in GPU clusters, low-level systems programming, and Linux kernel internals, while offering a competitive compensation package and a dynamic, hands-on work environment. **

Salary

Base: $180,000 - $440,000 USD; Bonus/Equity: Equity included in total rewards package; Benefits: Comprehensive medical, vision, dental, 401(k), disability, life insurance

Skills & Requirements

Must-have

  • Deep low-level systems programming C/C++ or Rust
  • Experience with large-scale GPU clusters
  • Hands-on work with GPU kernel optimization
  • Experience with Linux kernel internals
  • Strong experience with distributed compute infrastructure

Nice-to-have

  • Track record of building high-performance AI infrastructure
  • Ability to reason from first principles
  • Optimize for memory-bound and compute-bound scenarios
  • Experience with exabyte scale storage systems
  • Custom container orchestration beyond standard Kubernetes

Key Requirements

  • Deep low-level systems programming expertise
  • Production scale GPU cluster experience
  • Linux kernel internals knowledge
  • High-performance infrastructure background

Work Rights

Not specified

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