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ML Performance Engineer

Gridmatic
Cupertino, California
Full Time
Posted October 8, 2025
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Job Description

The role involves building and optimizing scalable machine learning infrastructure to support high-performance training, inference, and evaluation on large-scale datasets, with a focus on advancing clean energy solutions and decarbonizing the electricity system.

Key Responsibilities

  • Build and optimize the infrastructure of the ML platform for training, inference, and evaluation.
  • Design scalable, high-performance systems for processing large-scale time-series and weather datasets.
  • Enhance throughput and efficiency of machine learning workflows on distributed and GPU-based systems.

Requirements

  • The candidate must have solid expertise in machine learning.
  • The candidate must have solid expertise in distributed systems.
  • The candidate must have solid expertise in GPU-based training.
  • The candidate must have strong deep learning fundamentals.
  • The candidate must have strong software engineering skills.

Benefits & Perks

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