Software Engineer, Systems ML - Compilers / Kernels

Meta Careers; Santa Clara, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta's Santa Clara-based MTIA Software Team is hiring a Software Engineer, Systems ML specializing in compilers and kernels. You will help develop the AI compiler stack, contribute to PyTorch core components, and optimize high-performance kernels for next-generation hardware accelerators.

Collaborating with AI researchers and hardware engineers, you will analyze models, implement compiler optimizations, and advance deployment velocity for training and inference on MTIA platforms.

Responsibilities

• Develop SW stack for AI compiler, frameworks, and high-performance kernel development.
• Contribute to PyTorch core compilers to support new state-of-the-art AI hardware accelerators and optimize their performance.
• Analyze deep learning networks, develop & implement compiler optimization algorithms.

Job description

# Software Engineer, Systems ML - Compilers / KernelsSanta Clara, CA Engineering+ 2 moreApply nowIn this role, you will be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger PyTorch AI framework organization. MTIA Software Team has been developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to train & serve new DL/ML model architectures, combined with auto-tuned high performance for production environments across specialized hardware architectures. The compiler stack, DL graph optimizations, and kernel authoring for specific hardware, directly impacts performance and deployment velocity of both AI training and inference platforms at Meta.You will be working on one of the core areas such as PyTorch framework components, AI compiler and runtime, high-performance kernels and tooling to accelerate machine learning workloads on the current & next generation of MTIA AI hardware platforms. You will work closely with AI researchers to analyze deep learning models and lower them efficiently on MTIA hardware. You will also partner with hardware design teams to develop compiler optimizations for high performance. You will apply software development best practices to design features, optimization, and performance tuning techniques. You will gain valuable experience in developing machine learning compiler frameworks and will help in driving next generation hardware software codesign for AI domain specific problems.---## Software Engineer, Systems ML - Compilers / Kernels Responsibilities* Development of the SW stack with one of the following core focus areas: AI compiler stack, frameworks, high-performance kernel development and acceleration onto the next generation of hardware architectures* Contribute to the development of the PyTorch AI framework core compilers to support new state of the art inference and training AI hardware accelerators and optimize their performance* Analyze deep learning networks, develop & implement compiler optimization algorithms