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RelaceRelaceSan Francisco, CA

Infrastructure Engineer

Designs and operates high-performance inference and training infrastructure for ML models, focusing on GPU scheduling, distributed systems, and cloud optimization. Requires 2+ years experience with cloud platforms like AWS/GCP/Azure.

Salary not listed
On-site2+ YOEDevOps / SRE

About the role

Responsibilities

  • Architect and manage the infrastructure powering our ultra-fast inference and training stack.
  • Build reliable, efficient systems for deploying and scaling ML workloads globally.
  • Work on GPU scheduling, distributed systems, and high-performance cloud deployments.
  • Optimize performance and cost across compute, networking, and storage layers.
  • Collaborate with world-class engineers to push the limits of what small models can do.

Requirements

  • 2+ years of experience writing high-quality production code
  • Strong experience with cloud infrastructure (AWS, GCP, Azure, or equivalent)
  • Experience with data science and systems optimization
  • Familiarity with ML infrastructure, GPUs, etc. a plus

Skills

AWSGCPAzureKubernetesDockerGpusDistributed SystemsML InfrastructureTerraformLinux

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