Software Engineering Manager, AI Compiler

The MTIA (Meta Training & Inference Accelerator) Software team has been developing a comprehensive AI Compiler strategy and optimizing compiler toolchains. This enables training and inference of Meta's production DL/ML workloads on the specialized MTIA AI accelerator hardware in a highly performant and flexible way.

We are looking for a Software Engineering Manager who drives the compiler stack development & high performance compilers optimizations and tuning, specific to the MTIA AI accelerator hardware.

As a Software Engineering Manager for the AI Compiler team, you will:

• Grow a team of domain experts within AI Compiler.
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
• Operate strategically and tactically. Develop vision, strategy and help set direction for the team.
• Remain up-to-date on ongoing software development activities in the team, help work through technical challenges, and be involved in design decisions.

This role requires expertise in compiler architecture and development, particularly ML compilers or DSLs or static/dynamic languages compilers. You should have 2+ years of experience in managing a team of compiler engineers of varied skill levels and experience with cross-functional collaboration with hardware or AI framework teams.

Preferred qualifications include experience with compiler optimizations, compiling and code generation targeting ML accelerators or custom hardware, GPUs or CPUs, different programming models for high-performance computations, and knowledge of ML frameworks like PyTorch, TensorFlow, ONNX, MXNet, etc.

Join us in shaping the future of AI compiler technology at Meta, where we're pushing the boundaries of what's possible in machine learning and artificial intelligence.