Hyperbolic

Forward Deployed Infrastructure Engineer

Hyperbolic

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AWSCloud

About the role

  • Be the technical point-of-contact during trials, running both standardized and custom benchmarks to prove our value.
  • Design, run, and analyze benchmarks across customer workloads — including comparisons against AWS, Lambda, and others.
  • Diagnose performance issues (GPU utilization, NCCL setup, container configs) and recommend fixes.
  • Package results into clear, credible reports and handoffs that make technical findings easy to act on.
  • Own and maintain the scripts, containers, and environments used to validate performance across SKUs and setups.
  • 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 points if you have: prior customer-facing experience in a startup or devtools setting. Background as an ML engineer, solutions architect, or technical account manager.
Benefits
  • Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
performance testingML model benchmarkingGPU utilizationNCCL setupcontainer configurationperformance optimizationcluster configuration
Soft Skills
written communicationmultitaskingcustomer-facing experience