ML Compiler and Performance Engineer

**Summary:**
Meta's Training and Inference Accelerators (MTIA) team is developing novel HW to enable efficient execution of AI training and inference workloads. In this role, you will have end-to-end responsibility for the performance of in-production AI models in their transition from stock HW to MTIA chips, with a focus on models that require multi-node compute.To learn more about MTIA, explore the links below:- https://ai.meta.com/blog/meta-training-inference-accelerator-AI-MTIA/- https://ai.meta.com/blog/next-generation-meta-training-inference-accelerator-AI-MTIA/- https://dl.acm.org/doi/full/10.1145/3695053.3731409
**Required Skills:**
ML Compiler and Performance Engineer Responsibilities:
1. Identifying bottlenecks and quantifying opportunities for improving performance
2. In-depth, end-to-end performance analysis and reporting
3. Developing optimizations to address identified bottlenecks
4. Optimizing compute/communication overlap
5. Work closely with...