腾讯云服务器AI集群网络质量工程师
Core
Operate and monitor network quality for domestic and international AI server clusters, ensuring stability and performance for high-scale AI workloads.
Role type
Senior IC AI cluster network quality engineer
Builds
Full-link observability systems for 'XPU—switch—link' architectures in AI clusters
Domain
Cloud computing / AI infrastructure / Data center networking
Deliverable
production ML models
Required skills
x86/ARM/GPU architecture expertise, switch network product knowledge, kernel framework analysis, C/Shell/Python scripting, network hardware evolution understanding, protocol analysis, network configuration and performance tuning, hardware failure root cause analysis
Preferred skills
AI server quality operations experience, network problem troubleshooting experience
Technologies
x86, ARM, GPU, C, Shell, Python, switch networks, network hardware firmware
Responsibilities
Monitor and regulate network quality for global AI server clusters; Build observability systems for XPU-switch-link full-link connectivity; Analyze network health and optimize performance, configuration, and monitoring; Diagnose and resolve link speed reduction, jitter, and system-level stability issues; Iterate on network hardware firmware versions and fix top issues in NICs and switch networks.
Seniority
Senior, hands-on IC
