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xAI

Network Engineer - ML Infrastructure (High-Speed Interconnects)

Palo Alto, California$180k–$440kmidAdded 1 month ago

About this role

xAI is seeking a skilled Network Engineer specializing in ML Infrastructure to design and optimize high-speed interconnect technologies for AI clusters. This role involves hands-on work with advanced networking hardware crucial for large-scale AI training and inference systems.

What you'll do

  • Design and validate high-speed connectivity solutions for AI clusters.
  • Manage vendor onboarding for new products and conduct product characterization.
  • Investigate new interconnect opportunities.
  • Evaluate new co-packaged engines and their performance.
  • Collaborate with teams to align interconnect topology with ML workload patterns.
  • Perform system-level simulations and drive failure analysis in production.

What they're looking for

  • Expertise in high-speed copper and optical interconnects
  • Deep knowledge of PAM4 SerDes
  • Solid understanding of optical link performance metrics
  • Experience with transceiver components and their characterization
  • Knowledge of thermal and signal integrity constraints
  • Familiarity with interconnect health monitoring tools
  • Experience in a hyperscale datacenter environment
  • Strong communication and collaboration skills

Benefits

  • Opportunity to work with cutting-edge technology
  • Collaborative flat organizational structure
  • Engagement in challenging and innovative projects
  • Contribution to significant AI advancements
  • Professional growth and development opportunities
  • [unknown]
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xAI

xAI builds advanced AI infrastructure and systems, including the Grok model inference platform and Colossus GPU cluster. The company is hiring Mechanical, Electrical, and Facilities Engineers to design and maintain its data center operations, as well as Software Engineers to optimize high-performance inference systems and datacenter networking.

View all jobs at xAI