Systems ML Engineer: AI Infra & Hardware Acceleration

Meta; Sunnyvale (CA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking an AI Software Engineer to join our Research & Development teams in Sunnyvale, CA. The role focuses on AI infrastructure and hardware acceleration to solve challenging problems on the web.

The ideal candidate will have experience in building scalable ML systems, optimizing performance, and mentoring engineers. This position is part of Meta's broader AI initiatives across multiple locations and teams.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• Specialized experience in Hardware accelerators architecture, GPU architecture, ML compilers, ML systems, AI infrastructure, high performance computing, optimization, or ML frameworks (e.g. PyTorch).
• Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.

Responsibilities

• Apply AI infrastructure and hardware acceleration to build and optimize ML systems.
• Set goals related to project impact, AI system design, and infrastructure/developer efficiency.
• Directly or by influencing partners to deliver impact through data-driven analysis.
• Drive large efforts across multiple teams.
• Define use cases, and develop benchmarks to evaluate approaches.
• Apply deep knowledge of how ML infra interacts with other systems.
• Mentor other engineers and research scientists to improve team quality.

Skills

AI infrastructure

Data-driven analysis

Project leadership

Mentoring

Cross-team collaboration

System design

Education

Bachelor's degree in CS/CE

Tools

PyTorch

C/C++

Python

Job description

Meta is seeking an AI Software Engineer to join our Research & Development teams in Sunnyvale, CA. The role focuses on AI infrastructure and hardware acceleration to solve challenging problems on the web.

The ideal candidate will have experience in building scalable ML systems, optimizing performance, and mentoring engineers. This position is part of Meta's broader AI initiatives across multiple locations and teams.