Forward Deployed Infrastructure Engineer

Job not on LinkedIn

🕒 April 16

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 74%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hyperbolic

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS • Cloud Computing

Hyperbolic is a company that provides accessible, affordable, and scalable GPU resources and AI services through an open access cloud platform. It allows users, including companies, researchers, data centers, and individuals, to access powerful GPUs such as A100 and H100 at the lowest market prices. Hyperbolic also enables users to monetize their idle machines, turning them into profit-makers with flexible payment options. The platform is praised for its revolutionary role in democratizing AI by offering easy access to computing resources and AI inference services at competitive prices. Hyperbolic is committed to creating an equitable and transformative future with AI, focusing on collaboration, security, scalability, and reliability in its services.

📋 Description

• 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.