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Job Description
- Work as part of the EdgeTPU compiler team, including analyzing and improving the compiler quality and performance on optimization decisions, correctness and compilation time.
- Develop parallelization and scheduling algorithms to optimize compute and data movement costs to execute ML workloads on the EdgeTPU.
- Work on efficient mapping of AI models and other key workloads into EdgeTPU instructions through the compiler.
- Manage a team of experienced compiler engineers.
- Collaborate with Machine Learning (ML) model developers, researchers, and EdgeTPU hardware/software teams to accelerate the transition from research ideas to exceptional user experiences running on the EdgeTPU.