Systems ML Engineer - AI Infra & Hardware

Meta; Trenton (NJ); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will apply AI infrastructure concepts and hardware acceleration to build and optimize intelligent ML systems that enhance Meta’s products and experiences. We hire in multiple locations and value cross-team collaboration.

The role emphasizes designing scalable AI systems, setting project impact goals, and mentoring engineers and researchers while driving data-driven outcomes across initiatives.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• Specialized experience in AI infrastructure domains: hardware accelerators architecture, GPU architecture, ML compilers, ML systems, AI infrastructure, high performance computing, performance optimizations, or ML frameworks (e.g. PyTorch).
• Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.

Responsibilities

• Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize 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

Skills

AI infrastructure

Hardware acceleration

ML systems

C/C++ or Python

PyTorch

Education

Bachelor's degree in CS/Engineering or equivalent

Job description

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will apply AI infrastructure concepts and hardware acceleration to build and optimize intelligent ML systems that enhance Meta’s products and experiences. We hire in multiple locations and value cross-team collaboration.

The role emphasizes designing scalable AI systems, setting project impact goals, and mentoring engineers and researchers while driving data-driven outcomes across initiatives.