Principal ML Systems Architect & Tech Leader

Meta; New York (NY); On-site; USD 219,000 - 301,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a principal-level Software Engineer to drive technical strategy and execution across Systems ML Engineering. You will define architectural foundations powering large-scale machine learning infrastructure, spanning training systems, inference pipelines, ML compilers, high-performance computing frameworks, and on-device optimization.

You will identify and solve cross-system ML challenges and shape multi-year roadmaps for organizational impact.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 12+ years in software engineering with ML systems focus.
• Experience delivering large-scale ML training/inference infra across orgs.
• Experience leading multi-year cross-functional technical initiatives.

Responsibilities

• Identify and solve complex cross-system ML infrastructure challenges.
• Define architectural standards for ML systems across orgs.
• Own multi-year technical roadmap for ML systems infra.
• Mentor engineers and lead programs in ML systems development.
• Communicate architecture and strategy clearly to stakeholders.

Skills

ML Systems

Cross-team Leadership

Technical Strategy

Architectural Design

Roadmap Planning

Mentoring

Education

Bachelor's degree in CS/CE or related field

Tools

MLIR

XLA

TVM

CUDA

Python

C++

Job description

Meta is seeking a principal-level Software Engineer to drive technical strategy and execution across Systems ML Engineering. You will define architectural foundations powering large-scale machine learning infrastructure, spanning training systems, inference pipelines, ML compilers, high-performance computing frameworks, and on-device optimization.

You will identify and solve cross-system ML challenges and shape multi-year roadmaps for organizational impact.