AI Systems Engineer: ML Infra & Hardware Acceleration

Meta; Denver (CO); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking an AI Software Engineer to work on AI infrastructure and ML systems within our Research & Development teams. The role requires applying hardware acceleration and advanced ML techniques to improve Meta's products.

We hire in multiple locations and value mentorship and cross-team collaboration. The role emphasizes designing scalable AI infrastructure, optimizing performance, and driving measurable impact across projects.

Qualifications

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

Responsibilities

• Apply AI infrastructure and hardware acceleration techniques to build and optimize ML systems
• Set goals related to project impact, AI system design, and developer efficiency
• Drive data-driven analysis to deliver impact across teams
• Lead large efforts across multiple teams
• Define use cases and benchmarks to evaluate approaches
• Understand ML infrastructure interaction with surrounding systems
• Mentor engineers and research scientists to improve engineering quality

Skills

AI infrastructure

GPU architecture

PyTorch

C/C++

Python

Education

Bachelor’s degree in CS/CE or equivalent

Master/PhD in CS/CE (preferred)

Tools

CUDA

Job description

Meta is seeking an AI Software Engineer to work on AI infrastructure and ML systems within our Research & Development teams. The role requires applying hardware acceleration and advanced ML techniques to improve Meta's products.

We hire in multiple locations and value mentorship and cross-team collaboration. The role emphasizes designing scalable AI infrastructure, optimizing performance, and driving measurable impact across projects.