Ml Compiler Software Engineer, Tensor Processing Unit
Google
Sunnyvale, CA, United States
Base salary only; bonus/equity: not specified; ben...
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Compiler parallelization features
Tpu backend optimization
Collective operation lowering
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Google is seeking a Machine Learning Compiler Software Engineer to enhance the capabilities of its Accelerated Linear Algebra (XLA) compiler, focusing on optimization and performance for large-scale ML workloads. The role involves collaboration with experts in ML hardware and compiler optimization to ensure the best performance for essential ML programs.
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Job Summary
This role focuses on scaling the capabilities of the XLA compiler to support increasingly large ML workloads.
You will deliver compiler parallelization features and optimization techniques specifically for the TPU back-end.
The position requires collaborating with world experts in ML hardware, compilers, and performance optimization.
Matching Summary
Match Score: 75
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Google is seeking a Machine Learning Compiler Software Engineer to enhance the capabilities of its Accelerated Linear Algebra (XLA) compiler, focusing on optimization and performance for large-scale ML workloads. The role involves collaboration with experts in ML hardware and compiler optimization to ensure the best performance for essential ML programs.
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Salary
Base salary only; Bonus/Equity: Not specified; Benefits: Not specified