Founding ML Platforms Engineer — GPU Orchestrator

cumulus labs; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Cumulus Labs builds the software that turns raw GPU capacity into fast, cheap, production AI. We are hiring an ML Platforms Engineer to build and run the orchestration layer that schedules workloads, allocates GPUs, and keeps a heterogeneous, multi-cloud fleet running at high utilization.

We care more about how you think than which languages are on your resume. Our stack today includes Go, Kubernetes, and Terraform, and we value someone who can walk into any part of a production system and make

Qualifications

• Strong fundamentals in data structures and algorithms.
• Experience with production systems and scaling under load.
• Ability to reason about tradeoffs and architectural decisions.

Responsibilities

• Build and extend GPU orchestrator for scheduling and allocation.
• Design multi-tenant primitives including quotas and metering.
• Own observability: metrics, logs, traces at scale.
• Debug hard systems-level issues across stack.
• Make architectural decisions and own end-to-end systems.
• Ship fast and collaborate directly with the founder.

Skills

Data structures

Algorithms

Distributed systems

Production experience

Go

Kubernetes

AI coding tools

Architectural thinking

Job description

Cumulus Labs builds the software that turns raw GPU capacity into fast, cheap, production AI. We are hiring an ML Platforms Engineer to build and run the orchestration layer that schedules workloads, allocates GPUs, and keeps a heterogeneous, multi-cloud fleet running at high utilization.

We care more about how you think than which languages are on your resume. Our stack today includes Go, Kubernetes, and Terraform, and we value someone who can walk into any part of a production system and make