Member of Technical Staff

Verda is reimagining cloud infrastructure for AI workloads. We are a full-stack AI cloud company, meaning we install, operate, and optimize our compute for training and inference of AI models. Join Verda while it’s still being built - not once it’s finished! In this role, you will focus on improving the networking and communication layer behind large-scale LLM training workloads. You will optimize collective communication performance across distributed GPU clusters, helping improve throughput, utilization, and reliability for communication-bound workloads. You will debug and analyze bottlenecks across the networking stack, building tooling and infrastructure for benchmarking, profiling, and regression testing of distributed training performance. You will work closely with training, infrastructure, hardware, and networking teams to improve how workloads scale across clusters, contributing to both system reliability and overall training efficiency.