Software Engineer, Systems ML - HPC

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. Some aspects of this role as an HPC specialist will include using lower precision numeric formats (fp8) for training. In addition, you would be optimizing training workloads on new hardware platforms (Blackwell) and exploring newer paradigms for distributed training and data loading. We are hiring in multiple locations.

Software Engineer, Systems ML - HPC Responsibilities

• Apply relevant AI and machine learning techniques to build & optimize our intelligent systems that improve Metas products and experiences


• Enable low precision numerics for efficient training.


• Research and deploy techniques for improving training efficiency like data efficient training and efficient optimizers


• Apply techniques for kernel fusion and kernel generation (torch.compile) to improve and optimize training performance

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.


• 2+ years of experience in HPC and parallel computing.


• Track record of bringing research ideas to production to improve training efficiency


• Expertise in pytorch and cuda

Preferred Qualifications

• PhD in Computer Science, Computer Engineering, or relevant technical field.


• Publications on conferences like ML Sys, Neurips on the topic of improving training efficiency

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