Forward Deployed Infrastructure Engineer
Hyperbolic
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSCloud
About the role
- 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
Requirements
- 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.)
- Bonus: Prior customer-facing experience in a startup or devtools setting
- Bonus: Background as an ML engineer, solutions architect, or technical account manager