Software Engineering Manager, MTIA

The MTIA (Meta Training & Inference Accelerator) Software team is part of AI and Compute Foundation organization. The team’s mission is to explore, develop and help productize high-performance software and hardware technologies for AI at datacenter scale. Team has been developing AI frameworks to accelerate Meta’s Deep Learning and Machine Learning workloads on the specialized MTIA AI accelerator hardware. As part of the AI acceleration software stack, we develop PyTorch compiler frontend for MTIA, PyTorch runtime for inference & training, high performance runtime and kernel libraries exploiting various hardware architectural features and tooling. We are looking for an engineering manager to support MTIA software stack development for training and inference platform.

At least 2 years of experience in managing a software team in a fast-paced capacity Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management Experience developing AI training and/or inference software stack Experience working with deep learning frameworks such as PyTorch, TensorFlow, JAX, ONNX, MXNet, TensorRT etc Knowledge of training deep learning models such as recommendation, ranking, LLM, computer vision, etc Familiarity with AI hardware such as GPUs, NPUs, deep learning accelerators is a plus

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