Summary

This software engineer will build distributed systems that monitor, debug, and improve large-scale AI model training infrastructure. The role focuses on failure detection, tracing, observability, reliability, and performance across high-throughput training workloads; no working arrangement is stated.

Responsibilities

• Design distributed failure detection systems
• Build tracing and profiling infrastructure
• Identify slow and faulty compute nodes
• Improve training platform observability and reliability
• Debug high-throughput distributed system issues
• Extend systems for new training workloads