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Member of Technical Staff, AI Training Infrastructure

Builds and optimizes scalable infrastructure for AI model training on large GPU clusters. Requires expertise in distributed systems, Python/C++, and ML frameworks.

175k – 220kSan Mateo, CADevOps / SREOnsite

About the role

Responsibilities

  • Design, build, and maintain scalable infrastructure for AI model training pipelines.
  • Optimize distributed training systems for large-scale GPU clusters.
  • Collaborate with AI researchers and engineers to deploy training workflows efficiently.

Requirements

  • Strong experience with distributed systems and high-performance computing.
  • Proficiency in Python, C++, and infrastructure-as-code tools.
  • Deep knowledge of AI training frameworks and GPU optimization.

Nice-to-Haves

  • Experience with Kubernetes and cloud platforms like AWS or GCP.
  • Background in machine learning operations (MLOps).

Skills

PythonC++KubernetesDistributed SystemsGpu ProgrammingPyTorchTensorFlowMLOpsAWSGCP

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