Software Engineer, Systems ML - SW/HW Co-design

Job Description

About the Role

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. We are hiring in multiple locations.

Key Responsibilities

Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta's products and experiences
Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
Drive large efforts across multiple teams
Define use cases, and develop methodology & benchmarks to evaluate different approaches
Apply in depth knowledge of how the ML infra interacts with the other systems around it
Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design
Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python
Master/PhD degree in Computer Science, Computer Engineering
Technical leadership experience
Experience with distributed systems or on-device algorithm development
Experience with recommendation and ranking models