Software Engineer, Systems ML - Frameworks / Compilers / Kernels

Software Engineer, Systems ML - Frameworks / Compilers / Kernels at Meta in Boise, Idaho, United States Job Description Summary: In this role, you will be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger industry-leading 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. Required Skills: Software Engineer, Systems ML - Frameworks / Compilers / Kernels Responsibilities: 1. Development of SW stack with one of the following core focus areas: AI frameworks, compiler stack, high performance kernel development and acceleration onto next generation of hardware architectures. 2. Contribute to the development of the industry-leading PyTorch AI framework core compilers to support new state of the art inference and training AI hardware accelerators and optimize their performance. 3. Analyze deep learning networks, develop & implement compiler optimization algorithms. 4. Collaborating with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc. 5. Performance tuning and optimizations of deep learning framework & software components. Minimum Qualifications: Minimum Qualifications: 6. Proven C/C++ programming skills 7. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Scie To view full details and how to apply, please login or create a Job Seeker account