Member of Technical Staff, Backend - NomadicML

The role

You will build and scale the backbone of a video intelligence platform. This includes developing GPU inference pipelines, cloud ingestion infrastructure, and developer SDKs.

What you will do

• Architect pipelines to run multi-GPU inference jobs on foundation-scale video models.
• Build direct integrations with AWS S3, GCP Storage, and Azure Blobs for large-scale ingest.
• Design event-driven, autoscaling job systems using Kubernetes, Pub/Sub, or Ray.
• Power the NomadicML Python SDK for video ingestion, analysis, and search.
• Build logging, tracing, and metrics pipelines for GPU utilization and job latency.
• Support web app Cloud Integrations and Project Workflows through backend endpoints and TypeScript SDK bindings.

Required qualifications

• Deep proficiency in Python, Go, or TypeScript for backend systems.
• Experience with AWS, GCP, or Azure (IAM, S3/Blob Storage, Batch/Compute APIs, etc.).
• Strong understanding of GPU inference scaling, Kubernetes, container orchestration, and event-driven pipelines.
• Prior experience designing REST/gRPC APIs, SDKs, or developer-facing infrastructure.
• Familiarity with asynchronous job orchestration (Ray, Airflow, Dagster, Temporal).

Nice to have

• Experience contributing to inference orchestration frameworks or ML infra tools (e.g., DeepSpeed, Triton, Ray Serve).
• Understanding of video encoding, chunking, and streaming formats for efficient multi-modal ingestion.
• Basic front-end experience (React / Next.js) for integrating backend pipelines into product workflows.
• Background in ML infrastructure, observability, or data management systems.

About the company

NomadicML is building a platform that uses Vision-Language Models to transform raw video footage into structured intelligence. The team has built AI systems at Snowflake, Lyft, Microsoft, Amazon, and IBM Research.