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Software Engineer III, ML Performance

ExecutivePlacements.com

$141,000 - $202,000
Nov 16, 2025
Mountain View, CA, United States of America
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Google needs software engineers to develop next-generation technologies that can handle information at massive scale and extend beyond web search, with a focus on areas like information retrieval, distributed computing, and artificial intelligence.

Requirements

  • 2 years of experience with software development in one or more programming languages.
  • 2 years of experience with computer architecture, performance analysis, and performance modeling.
  • 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
  • Experience working with Graphics Processing Unit (GPU) or Tensor Processing Unit (TPU).
  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience with machine learning, compiler optimization, code generation, and runtime systems for GPU architectures.

Responsibilities

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Other

  • Bachelors degree or equivalent practical experience.
  • 2 years of experience in related field.
  • Master's degree or PhD in Computer Science or related technical fields.
  • Ability to work in a fast-paced environment and adapt to changing priorities.
  • Commitment to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.