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

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.

Responsibilities:

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

Qualification and experience:

Minimum Qualifications:

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

Preferred:

Preferred Qualifications:

Master/PhD degree in Computer Science, Computer Engineering

Experience with distributed systems or on-device algorithm development

Experience with recommendation and ranking models

Experience collaborating with other teams in a fast-paced environment