Job Description

Meta's MTIA team is seeking a ML Compiler and Performance Engineer to optimize AI training and inference workloads on new hardware. The role involves analyzing performance bottlenecks, developing optimizations, and collaborating with various teams to enhance multi-node compute efficiency.

Requirements

Experience developing and deploying optimizations at the level of PyTorch/Aten or comparable stacks

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)

Benefits

Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.

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