Staff Cloud Infrastructure Engineer

Lumicity

San Francisco (CA)

On-site

USD 200,000 - 225,000

Full time

14 days+
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Job summary

Lumicity, a fast-growing generative AI company, is looking for a Staff Cloud Infrastructure Engineer to build and scale high-performance GPU compute infrastructure. The role involves managing GPU clusters, automating processes, and collaborating with engineering teams to support AI workloads. Candidates should have over 5 years of experience in infrastructure or backend engineering, with a focus on distributed systems and cloud infrastructure.

Qualifications

  • 5+ years in infrastructure or backend engineering.
  • Experience with managing large GPU clusters.
  • Familiarity with automation and performance tools for AI.

Responsibilities

  • Manage large GPU clusters across cloud and bare metal.
  • Automate provisioning, scheduling, and workload scaling.
  • Build observability and performance tools for AI inference.

Skills

GPU orchestration
Distributed systems
Cloud infrastructure

Job description

This range is provided by Lumicity. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $225,000.00/yr

Direct message the job poster from Lumicity

Executive Search Consultant @ Lumicity | Recruiting Researchers & Engineers with Foundational AI Experience

A fast-growing generative AI company is seeking a Staff Cloud Infrastructure Engineer to build and scale high-performance GPU compute infrastructure. You will help architect and operate distributed systems powering real-time AI workloads used by millions.

Focus: GPU orchestration, distributed systems, large-scale cloud infrastructure

Experience: 5+ years in infrastructure or backend engineering

Funding: Well-funded seed stage

You’ll work on:

  • Managing large GPU clusters across cloud and bare metal
  • Automating provisioning, scheduling, and workload scaling
  • Building observability and performance tools for AI inference
  • Collaborating with engineering teams to ship infrastructure that scales quickly

Nice to have: Open source contributions in infrastructure, systems, or ML tooling.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Software Development

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