Senior Site Reliability Engineer

Job Summary

Designing and operating large-scale GPU infrastructure for distributed training and inference, the full-time Senior Site Reliability Engineer will serve as the primary technical contact for customers, focusing on optimizing performance and reliability in a remote environment.

Key responsibilities

• Design and evolve multi-provider, multi-region GPU compute clusters optimized for large-scale training
• Onboard, troubleshoot, and optimize customer workloads in real-time
• Define SLOs and error budgets while ensuring the health and performance of high-speed interconnects

Required qualifications

• Deep experience operating large-scale GPU clusters (NVIDIA A100/H100/B200 or equivalent)
• Production experience with high-performance networking technologies like InfiniBand, RoCE, or NVLink
• Working knowledge of distributed training and ML frameworks (e.g., NCCL, CUDA, PyTorch)
• Expert-level Linux knowledge, including kernel tuning and driver management
• Strong experience running Kubernetes in production with GPU workloads