Hyperbolic Labs - Forward Deployed Infrastructure Engineer

• WHAT YOU’LL OWN • Customer benchmarking & coordination • Be the technical point-of-contact during trials, running both standardized and custom benchmarks to prove our value. • Design and run performance tests • Design, run, and analyze benchmarks across customer workloads — including comparisons against AWS, Lambda, and others. • Debug and optimize customer trials • Diagnose performance issues (GPU utilization, NCCL setup, container configs) and recommend fixes. • Reporting & documentation • Package results into clear, credible reports and handoffs that make technical findings easy to act on. • Maintain benchmarking infrastructure • Own and maintain the scripts, containers, and environments used to validate performance across SKUs and setups. • Continuous iteration • Identify performance gaps, optimize cluster configs, and work with supply and engineering to close the loop. • Experience running infra performance tests or ML model benchmarks (training, inference, or both). • Strong knowledge of GPU cloud infra — how workloads run, what bottlenecks to watch for, and how configs affect performance. • Clear and fast written communication (reports, docs, handoffs). • Ability to juggle multiple trials/projects at once. • Familiarity with the landscape (AWS, Lambda, CoreWeave, Runpod, etc.). • Prior customer-facing experience in a startup or devtools setting. • Background as an ML engineer, solutions architect, or technical account manager.