Member of Technical Staff, Backend - NomadicML

Posted

pear-vcSan Franciscofull-timestaff

Tech Stack

Responsibilities

  • Architect pipelines for massive multi-GPU inference jobs on foundation-scale video models, optimizing for throughput, cost, and reliability.
  • Build direct integrations with AWS S3, GCP Storage, and Azure Blobs for large-scale ingest via signed URLs and resumable uploads.
  • Design event-driven, autoscaling job systems using Kubernetes, Pub/Sub, or Ray for analyzing terabytes of video data in parallel.
  • Power the NomadicML Python SDK for programmatic video ingestion, analysis, and search.
  • Build logging, tracing, and metrics pipelines for end-to-end observability of GPU utilization, job latency, and inference health.

Benefits

  • Health Insurance

Culture

Impact-OrientedStartup Energy

Requirements

Regions: Us

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About pear-vc
Industry: ai/ml, autonomous driving, robotics
Size: startup

NomadicML is building a platform that uses Vision-Language Models (VLMs) to transform raw video footage into structured intelligence for autonomy and robotics, partnering with industry leaders.

View company profile →