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xAI in Palo Alto is seeking a Senior Network Engineer to build and optimize the ML infrastructure interconnect fabric across training and inference clusters. You will own high-speed interconnects to reduce bottlenecks and enable scalable ML workloads in a dynamic, fast-paced environment.
The role requires experience with copper and optical interconnects, cluster networking, and large-scale data-center networks.
Type: Full-time
Seniority: Senior
Flexible: Flexible
Location: Palo Alto
Team: Infrastructure
xAI is hiring a Network Engineer for ML Infrastructure, focused on high-speed interconnects, in Palo Alto.**Why this role is on the roster.** Hiring specifically for copper and optical interconnect fabric across training and inference clusters says interconnect - not GPU count - is a named bottleneck at xAI's current scale. It was opened alongside an RL Inference req, which reads as a build-out rather than a backfill.
Stated compensation: $180,000-$440,000.
Sourced from xAI's own job board.