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Job Description
- Analyze and improve compiler quality, performance, optimization decisions, correctness and compilation time as part of the EdgeTPU compiler team.
- Develop and enhance parallelization and scheduling algorithms to reduce compute and data movement costs for executing ML workloads on the EdgeTPU.
- Collaborate with EdgeTPU architects to shape future accelerators, the Hardware/Software (HW/SW) interface, and co-optimizations of the next-generation EdgeTPU architectures.
- Work on efficient mapping of generative AI models and other key workloads into EdgeTPU instructions through the compiler.