Software Engineer - Systems ML - PyTorch

Job Description

About the Role

In this role, you will be a member of the PyTorch Core Systems team. The PyTorch team develops the open source software stack powering AI models and systems. The Systems team optimizes highly performant software to train and serve AI architectures. You will work closely with AI researchers to analyze deep learning models and optimize their performance within PyTorch. You will also partner with researchers to understand modern advances in AI guided software development and apply this directly towards PyTorch code and device optimization.

Key Responsibilities

Improve PyTorch's state of the art training, post-training, and inference on modern AI hardware accelerators
Development of PyTorch's software stack with a focus on AI frameworks and high performance kernel development
Performance tuning and optimizations of deep learning framework & software components
Collaborating with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc

Requirements

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Proven C/C++ programming skills
Experience in AI framework development or accelerating deep learning models on hardware architectures

Nice to Have

Knowledge of GPU, CPU, or AI hardware accelerator architectures
Experience working with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, TensorRT
Experience with CUDA programming, OpenMP / OpenCL programming or AI hardware accelerator kernel programming
Experience in accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm
Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD
Experience with MLIR, LLVM, IREE, XLA, TVM, Halide
Experience in developing training and inference framework components
Experience in system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development

Qualifications

Educational background in Computer Science, Computer Engineering, or relevant technical field
Practical experience or ongoing studies in related areas

Benefits & Perks

Compensation ranges from $56.25/hour to $173,000/year plus bonus, equity, and benefits
Individual compensation is determined by skills, qualifications, experience, and location
Meta offers additional benefits beyond base pay

Working at Meta

Meta builds technologies that help people connect, find communities, and grow businesses. The company emphasizes innovation in social technology, including immersive experiences like augmented and virtual reality. Meta values diversity and is committed to equal employment opportunity, providing accommodations for candidates with disabilities, and leveraging AI and ML in its recruitment processes.

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