Member of Engineering (Compute)

Build and optimize Poolside’s compute platform for GPU utilization, GPU workload scheduling, and inference serving. Partner with the inference and scalability teams to improve throughput and latency for evals and reinforcement learning, while helping stabilize fault-tolerant large-scale training. Work closely with infra to ensure GPU nodes are healthy and fully utilized, delivering a stable, scalable inference serving stack for researchers.