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Job Description
- Analyze performance and efficiency metrics to identify bottlenecks.
- Engage with Google product teams, Cloud, researchers to solve their performance problems.
- Apply parallelization and optimization techniques, such as sharding, quantization, and sparsity, to improve model performance while meeting pre-defined quality characteristics.
- Analyze and debug performance.