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Member of Technical Staff - Machines

Modal Labs · San Francisco · New York

CHECKED 16H AGO

Infrastructureonsitesenior$250k–$300k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own the machines layer powering every Function, Sandbox, and training job.
  • Build automation that keeps a global fleet healthy without human intervention.
  • Automate integration of new capacity from a growing set of hardware providers.

Ideal candidate

A systems-minded engineer who loves digging from hardware up through software and owning production reliability. You’re energized by automation, hands-on debugging, and building infrastructure for demanding AI workloads.

Requirements

  • 5+ years of experience writing high-quality production code
  • Experience operating fleets of physical hardware or building the control planes that manage them
  • Strong cloud skills
  • Strong knowledge of low-level operating system foundations
  • Effective at debugging across layers, from hardware to control-plane services
  • Willingness to participate in on-call rotation and respond to production incidents

Lab profile

About Modal Labs

Serverless cloud infrastructure for AI workloads with instant GPU compute.

What they build

  • Serverless GPU cloud platform
  • Python SDK
  • Cloud sandboxes

Known for

  • Systems engineering at scale
  • ML performance optimization
  • Developer-first experience
More about Modal Labs →
Apply on the lab’s site ↗