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YouTube
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February 27, 2026
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Software Engineer, Performance, YouTube ML Efficiency

San Bruno, CA
Full-time
Onsite
$141K/yr - $202K/yr
Entry, Mid Level
YouTube is a platform that empowers individuals to share their stories and connect with others through technology and creativity. The role involves improving efficiency in machine learning models, collaborating with quality teams, and optimizing TPU hardware for performance enhancements.
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Responsibilities

  • Redesign components to improve efficiency, including implementing ragged tensors, scaling embedding tables, and developing new optimizers to change how models utilize resources
  • Partner with quality teams to enable foundational model changes. Identify and unblock performance detractors, allowing experimenters to scale model complexity and training procedures that were previously resource-prohibitive
  • Act as a local expert on TPU hardware. Push hardware limits by offloading logic to SparseCore, guiding model evaluation based on hardware constraints, and writing low-level Pallas kernels for maximum throughput
  • Address issues ranging from low-level infrastructure improvements and accelerated linear algebra (XLA) compiler tuning to leveraging application-level insights like traffic patterns and request deduping
  • Design self-tuning frameworks and analytics to automate performance tuning and resource attribution

Qualification

Required

  • Bachelor's degree or equivalent practical experience
  • 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 performance, systems data analysis, visualization tools, or debugging

Preferred

  • Master's degree or PhD in computer science or related technical fields
  • 2 years of experience with data structures and algorithms
  • Experience developing accessible technologies
  • Experience with GPU or TPU performance analysis
  • Experience with ML frameworks such as TensorFlow, JAX, and PyTorch, or ML compilers (e.g., accelerated linear algebra (XLA))

Benefits

  • Bonus
  • Equity
  • Benefits
YouTube is a platform for sharing and watching videos, including movies, music clips, and amateur content.
Glassdoor
4.4
4.4
Founded in 2005
San Bruno, California, USA
1001-5000 employees
https://www.youtube.com