Meta · 14 hours ago
ML Compiler and Performance Engineer
Meta builds technologies that help people connect, find communities, and grow businesses. 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, focusing on models that require multi-node compute.
Computer Software
Responsibilities
Identifying bottlenecks and quantifying opportunities for improving performance
In-depth, end-to-end performance analysis and reporting
Developing optimizations to address identified bottlenecks
Optimizing compute/communication overlap
Work closely with other compiler teams as well as client teams (Recommendation Systems, Generative AI, etc)
Qualification
Required
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience developing and deploying optimizations at the level of PyTorch/Aten or comparable stacks
Preferred
A Masters degree and 4+ years in-domain experience
A PhD degree and 2+ years in-domain experience
Experience optimizing multi-node distributed compute
Experience optimizing runtimes and/or kernels for accelerator platforms
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Funding
Current Stage
Late StageRecent News
Crunchbase News
2025-11-17
2025-11-16
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