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Job Description
- Create roadmaps for developer-facing APIs, SDKs, and tools, ensuring they meet the evolving needs of LLM workflows.
- Solve technically challenging problems that exceed the scope of a generalist software engineer, specifically around optimizing GenAI performance across heterogeneous hardware (CPUs, GPUs, and EdgeTPUs).
- Guide the team in designing resilient systems, anticipating scaling bottlenecks or shifts in usage as LLMs become increasingly complex.
- Coordinate efforts across multiple groups, including Android ML, ML Compiler, and DeepMind, to co-design performance and evaluation workflows.
- Provide technical mentorship and implement new practices that address team needs and increase the velocity of your teammates.