Software Engineering Manager, AI Compiler Expert

1 day ago


Redmond, Washington, United States META Full time

Company Overview

Meta Reality Labs is a world leader in virtual and augmented reality systems. We strive to create technology that makes science fiction real and changes the world. Our mission is to build a robust, optimizing software development kit (SDK) for custom ML accelerators, optimized for AR/VR systems.

About the Role

We are looking for a skilled Software Engineering Manager to lead a team of compiler and ML frameworks engineers and drive the development of a compiler and runtime toolchain for state-of-the-art deep learning hardware components. The successful candidate will be responsible for growing a team of domain experts in ML compilation for deep learning hardware acceleration targets, communicating with clients and peer teams, and developing vision and strategy for the team.

Salary Range

$177,000/year to $251,000/year + bonus + equity + benefits. Based on experience and qualifications.

Key Responsibilities

  • Grow a team of domain experts in ML compilation for deep learning hardware acceleration targets.
  • 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 with ongoing software development activities in the team, help work through technical challenges, and be involved in design decisions.
  • Build a collaborative, high-performing team culture focused on delivering outcomes against aggressive goals.

Qualifications

  • Bachelors or above in Computer Science or Electronics Engineering or an equivalent field.
  • Experience with software toolchain development for custom hardware, such as GPUs, AI accelerators, or other hardware accelerators.
  • 2+ years of experience in leading a team of software engineers of varied skill levels.
  • Experience with cross-functional collaboration with hardware or AI framework teams.
  • Knowledge of computer algorithms and experience crossing multi-disciplinary boundaries to drive optimal system solutions.
  • Experience with machine-code generation / compiler back-ends.

Preferred Qualifications

  • Masters or above in Computer Science or Electronics Engineering or an equivalent field.
  • Experience accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm, etc.
  • Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow.
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, LLMs, etc.
  • Experience with a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.


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