Systems ML Engineer — AI Infra & Acceleration

Meta; Olympia (WA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking an AI Software Engineer to join our Research & Development teams, focusing on AI infrastructure and systems. The role involves applying infra techniques to optimize intelligent ML systems across Meta products, with opportunities to mentor and lead cross-team efforts.

Required expertise includes C/C++ or Python, ML/DL domains like hardware accelerators, GPU architecture, and ML frameworks such as PyTorch. We offer multiple locations across the United States.

Qualifications

• Bachelor's degree in CS/related field or equivalent practical experience.
• Specialized experience in hardware accelerators, GPU arch, ML systems or AI infra.
• Experience developing AI-system infrastructure in C/C++ or Python.

Responsibilities

• Apply AI infrastructure and hardware acceleration techniques to build and optimize ML systems.
• Set goals for project impact, AI system design, and infrastructure efficiency.
• Collaborate with partners to deliver impact via data-driven analysis.
• Drive large efforts across multiple teams and define evaluation benchmarks.
• Mentor engineers and researchers to uplift engineering quality.

Skills

C++ programming

Python programming

AI infrastructure

ML systems

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorRT

Job description

Meta is seeking an AI Software Engineer to join our Research & Development teams, focusing on AI infrastructure and systems. The role involves applying infra techniques to optimize intelligent ML systems across Meta products, with opportunities to mentor and lead cross-team efforts.

Required expertise includes C/C++ or Python, ML/DL domains like hardware accelerators, GPU architecture, and ML frameworks such as PyTorch. We offer multiple locations across the United States.