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AI Inference Model Warm Pool Manager

Aevix Cloud

Remote · $160k – $200k / year · Full-time · Posted 3 months ago

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About the role

The models you'll help serve process millions of inference requests a day, and right now a meaningful share of our p99 latency comes from cold starts on infrequently used models. You will build a warm pool management system that predicts near-term demand per model and keeps the right instances pre-warmed, balancing latency improvement against the GPU cost of idle capacity. You'll work closely with the team that owns our autoscaling and batching infrastructure, since warm pool decisions need to stay coordinated with their scaling policies rather than fight against them.

Fully remote.

Responsibilities

  • Build a warm pool management system predicting near-term per-model inference demand
  • Balance latency improvements against the GPU cost of maintaining idle warm capacity
  • Coordinate warm pool policy with existing autoscaling and batching systems
  • Run controlled experiments measuring p99 latency impact of warm pool changes
  • Own cost reporting showing warm pool spend against latency gains delivered

Requirements

  • 6+ years in infrastructure engineering, ideally ML serving systems
  • Strong Kubernetes and Docker experience in production
  • Comfortable working within AWS-based GPU infrastructure
  • Experience with latency-sensitive, cost-constrained systems

Benefits

  • Fully remote position
  • Competitive salary and equity
  • Health insurance
  • Access to internal GPU clusters for personal experimentation

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

MLOps & AI Infrastructure

Skills

python kubernetes aws docker

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