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Forward Deployed Infrastructure Engineer

Hyperbolic Labs democratizes AI by providing an Open-Access AI Cloud and GPU marketplace, making computing power accessible and affordable.
Cloud
Mid-Level Software Engineer
In-Person
11 - 50 Employees
AI · Enterprise SaaS

Job Description

Hyperbolic Labs is revolutionizing AI accessibility through their Open-Access AI Cloud platform. As a seed-funded startup led by PhD holders in AI, Math, and Computer Science, they're building a GPU marketplace and AI inference service that democratizes computing power. The Forward Deployed Infrastructure Engineer will play a crucial role in bridging the gap between infrastructure suppliers and technical customers.

The role involves deep technical work in performance validation, benchmarking, and optimization of GPU cloud infrastructure. You'll be responsible for running both standardized and custom benchmarks, analyzing performance across different customer workloads, and comparing results against major cloud providers. This position requires strong technical expertise in cloud infrastructure, particularly around GPU utilization and container configurations.

The ideal candidate will combine technical prowess with excellent communication skills, as you'll be the technical point of contact during customer trials and responsible for creating clear, actionable reports. You'll maintain benchmarking infrastructure and continuously work to optimize cluster configurations.

This is an excellent opportunity for someone passionate about cloud infrastructure and AI accessibility to join a fast-growing startup that's backed by industry leaders. The role offers the chance to work directly with customers while solving complex technical challenges in the GPU cloud space. If you're excited about making AI computing resources more accessible and affordable while working with cutting-edge technology, this position at Hyperbolic Labs could be your next career move.

Last updated 3 days ago

Responsibilities For Forward Deployed Infrastructure Engineer

  • Be the technical point-of-contact during trials, running standardized and custom benchmarks
  • Design, run, and analyze benchmarks across customer workloads
  • Diagnose performance issues (GPU utilization, NCCL setup, container configs)
  • Package results into clear, credible reports and handoffs
  • Own and maintain benchmarking scripts, containers, and environments
  • Identify performance gaps and optimize cluster configurations

Requirements For Forward Deployed Infrastructure Engineer

Kubernetes
  • Experience running infra performance tests or ML model benchmarks
  • Strong knowledge of GPU cloud infrastructure
  • Clear and fast written communication
  • Ability to juggle multiple trials/projects at once
  • Familiarity with cloud providers (AWS, Lambda, CoreWeave, Runpod, etc.)

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