Principal Systems ML Engineer - Scalable AI Infra

Meta; Honolulu (HI); Presencial; USD 219 000 - 301 000; Tempo integral

Resumo da oferta

Meta is seeking a principal-level Software Engineer to drive architectural foundations for large-scale ML infrastructure across training, inference, and on-device optimization. You will define the multi-year technical roadmap and translate AI research into production systems that scale with AI-native workflows.

You will mentor engineers, partner with hardware and product teams, and shape standards that improve reliability and performance for complex ML systems at scale.

Qualificações

• 12+ years in software engineering with deep specialization in ML systems domains
• Experience architecting and delivering large-scale ML training or inference infrastructure across multiple orgs
• Experience leading multi-year cross-functional technical initiatives with metrics and dependencies
• Experience developing high-performance ML systems infrastructure in C++, Python, or CUDA
• Experience influencing technical direction across multiple teams via proposals and reviews

Responsabilidades

• Identify and solve the most complex cross-system ML infrastructure challenges spanning training, inference, compiler optimization, and hardware-software co-design
• Define extensible architectural standards and technical foundations for ML systems
• Develop and own the multi-year technical roadmap for ML systems infrastructure
• Leverage AI-native tooling to reduce engineering toil and accelerate cross-disciplinary work
• Drive performance improvements across large-scale ML training and inference systems
• Establish invariants, correctness proofs, and systemic reliability practices
• Partner with research, hardware, and product teams to translate advances into production infrastructure
• Assess emerging AI technologies and influence organizational strategy
• Mentor engineers and promote a culture of thoroughness and high craftsmanship
• Communicate complex ML systems architecture clearly with design docs and roadmaps

Conhecimentos

ML systems

High-performance computing

C++

Python

CUDA

Formação académica

Bachelor's degree in Computer Science/Engineering

Ferramentas

MLIR

XLA

TVM

On-device optimization

Descrição da oferta de emprego

Meta is seeking a principal-level Software Engineer to drive architectural foundations for large-scale ML infrastructure across training, inference, and on-device optimization. You will define the multi-year technical roadmap and translate AI research into production systems that scale with AI-native workflows.

You will mentor engineers, partner with hardware and product teams, and shape standards that improve reliability and performance for complex ML systems at scale.