Member of Technical Staff, Backend - NomadicML
Pear VC, San Francisco
The role
We’re looking for a Backend / Infrastructure Engineer who thrives at the intersection of cloud systems, SDK design, and large-scale inference infrastructure.
You’ll build and scale the backbone that powers NomadicML’s video intelligence platform — from secure cloud ingestion to distributed GPU inference pipelines that run our largest foundation models. You’ll collaborate with ML researchers to productionize their models, automate deployment and scaling, and expose those capabilities through clean APIs and SDKs used by enterprises worldwide.
This role blends systems engineering, distributed compute orchestration, and developer experience. You’ll be working across cloud storage, inference scheduling, GPU clusters, and the NomadicML SDK.
What you will do
- GPU Inference Workflows: Architect pipelines to run massive multi-GPU inference jobs on foundation-scale video models, optimizing for throughput, cost, and reliability.