ML Compiler and Performance Engineer
Listed on 2026-02-24
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Software Development
AI Engineer, Software 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.
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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)
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
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
$74.04/hour to $217,000/year + bonus + equity + benefits
IndustryInternet
Equal OpportunityMeta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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