GPU Supercomputing Engineer for Large-Scale AI Training

A leading AI research lab in San Francisco is seeking an engineer to design and operate GPU supercomputing environments. Responsibilities include managing large GPU clusters and writing software for efficient training and inference. The ideal candidate should have a Bachelor's degree in a relevant field and proficiency in Python or Rust. Generous benefits accompany a competitive salary of $350,000 - $475,000 based on experience.
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