Performance Systems Engineer - ML & Hardware Co-Design

Google LLC

Sunnyvale (CA)

Sur place

USD 147 000 - 210 000

Plein temps

14 jours+

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Résumé du poste

Google Sunnyvale, CA, USA invites applications for a Software Engineer III in Performance. The role focuses on optimizing large-scale systems, performance modeling, and data-driven improvements across internal platforms.

Expect collaboration across teams to deliver scalable, efficient software. The candidate should bring strong software development experience, a solid foundation in computer architecture, and a track record of performance optimization.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of software development experience in one or more languages.
  • 2 years of performance analysis, large-scale data analysis, or debugging.
  • 2 years of knowledge in computer architecture and performance modeling.

Responsabilités

  • Track AI market, identify optimization opportunities.
  • Validate SOTA optimizations (e.g., quantization, mxfp4) for internal customers.
  • Drive end-to-end impact by transitioning algorithms to Frontier Model Performance and Automation teams.
  • Collaborate on hardware/software co-design to guide TPU architecture and product capabilities.
  • Develop custom kernels (Pallas) for new efficiency techniques and production deployment.

Connaissances

Software development in one or more
Performance analysis
Large-scale data analysis
Data visualization tools
Debugging
Computer architecture
Performance modeling
Data structures & algorithms
ML models and systems

Formation

Bachelor's degree or equivalent practical experience
Master's degree or PhD in Computer Science or related fields

Description du poste

Google Sunnyvale, CA, USA invites applications for a Software Engineer III in Performance. The role focuses on optimizing large-scale systems, performance modeling, and data-driven improvements across internal platforms.

Expect collaboration across teams to deliver scalable, efficient software. The candidate should bring strong software development experience, a solid foundation in computer architecture, and a track record of performance optimization.

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