Hyperbolic

Forward Deployed Infrastructure Engineer

Hyperbolic

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job 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