Member of Technical Staff - Machines
Modal Labs · San Francisco · New York
CHECKED 16H AGO
Infrastructureonsitesenior$250k–$300k
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