Backend/Infra Engineer for Scalable Video AI Platform

Nomadic AI; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

NomadicML is seeking a Backend / Infrastructure Engineer who thrives at the intersection of cloud systems, SDK design, and large-scale inference infrastructure.

You will build and scale the backbone powering NomadicML’s video intelligence platform—from secure cloud ingestion to distributed GPU inference pipelines—collaborating with ML researchers to productionize their models and expose capabilities through APIs and SDKs used by enterprises worldwide.

Qualifications

• Proficiency in backend languages (Python/Go/TypeScript).
• Experience with cloud providers (AWS, GCP or Azure).
• Strong understanding of GPU inference scaling and container orchestration.

Responsibilities

• Build and scale the backbone powering NomadicML’s video intelligence platform.
• Shape secure cloud ingestion and distributed GPU inference pipelines.
• Collaborate with ML researchers to productionize models and expose capabilities via APIs/SDKs.

Skills

Python

Go

TypeScript

Tools

AWS

GCP

Azure

Kubernetes

Ray

Dagster

Job description

NomadicML is seeking a Backend / Infrastructure Engineer who thrives at the intersection of cloud systems, SDK design, and large-scale inference infrastructure.

You will build and scale the backbone powering NomadicML’s video intelligence platform—from secure cloud ingestion to distributed GPU inference pipelines—collaborating with ML researchers to productionize their models and expose capabilities through APIs and SDKs used by enterprises worldwide.