Experience in system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science, Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures Knowledge of GPU, CPU, or AI hardware accelerator architectures OR AI Compiler: Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD. 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 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience working with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, TensorRT OR AI frameworks: Experience in developing training and inference framework components.