ML TPU Efficiency Engineer
Listed on 2026-10-07
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Engineering
AI Engineer (Applied/Software)
Google is seeking software engineers to advance the You Tube algorithm, focusing on model efficiency and cost reduction across training and serving. You will own optimization techniques, including low-precision quantization, distillation, and parameter sharing, while collaborating with researchers to develop hardware-friendly models.
The role emphasizes building scalable ML systems and contributing to a broad stack from models to hardware/software co-design, with opportunities to influence
This role, ML TPU Efficiency Engineer at Google, could be your next move.
Are you ready to take on the ML TPU Efficiency Engineer role at Google?
We would love to welcome a new ML TPU Efficiency Engineer to our team in Mountain View, CA, United States.
For the ML TPU Efficiency Engineer position at Google, we are reviewing applications now.
Step into the ML TPU Efficiency Engineer role at Google in Mountain View, CA, United States and grow with us.
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