Principal Compiler Architect – AI Accelerators

Meta; Menlo Park (CA); Hybrid; USD 300,000 - 380,000; Full time

Job summary

Meta is seeking a principal-level Compiler Architect to work across the full compiler stack for MTIA, designing and implementing compiler infrastructure for efficient code generation, optimization, and execution on Meta's custom AI accelerators. You will tackle challenges from graph transformations to low-level code generation and drive performance across ML workloads and hardware co-design.

The role requires expertise in ML compiler stacks, production infrastructure, and leadership across

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience in compiler development, code generation, or performance optimization for accelerators.
• Experience architecting production compiler infrastructure for ML accelerators, GPUs, or custom silicon.
• Experience with compiler intermediate representations, optimization passes, and code generation techniques.
• Experience leading multi-year cross-functional technical initiatives, including defining metrics, managing dependencies, and driving execution across organizational boundaries.
• Experience developing high-performance systems software with strong understanding of low-level optimization and hardware architecture.
• Experience influencing technical direction and engineering practices across multiple teams through written proposals, design reviews, and stakeholder alignment.
• Deep understanding of ML model architectures and their computational patterns.
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Experience contributing to compiler or ML systems efforts through publications, open-source projects, or standards bodies.
• Experience defining and operationalizing performance benchmarks and correctness validation for compiler infrastructure.
• Experience with hardware-software co-design for custom ML accelerators or AI chips.
• Experience with ML compiler stacks such as MLIR, XLA, TVM, Glow, or similar frameworks.
• Track record of applying AI tools and automation to redesign engineering workflows, with demonstrated efficiency or quality improvements.
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.

Skills

Compiler development

Code generation

Performance optimization

ML accelerators

Cross-functional leadership

Hardware-software co-design

ML model architectures

Education

Bachelor's degree in Computer Science/Engineering or related field

Master's or PhD in CS/CE or related field

Tools

MLIR

XLA

TVM

Glow

Job description

Meta is seeking a principal-level Compiler Architect to work across the full compiler stack for MTIA, designing and implementing compiler infrastructure for efficient code generation, optimization, and execution on Meta's custom AI accelerators. You will tackle challenges from graph transformations to low-level code generation and drive performance across ML workloads and hardware co-design.

The role requires expertise in ML compiler stacks, production infrastructure, and leadership across