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About the Role
Meta is seeking hands-on engineering managers to join the Meta SuperIntelligence Lab (MSL), making direct contributions to the next generation of Generative AI models. The MSL Infra Optimizations team’s mission is to enable the development and productionization of cutting-edge high-performance optimizers, kernels and numeric algorithms, providing comprehensive analyses of their effect for MSL. Join us and be a part of the team that is shaping the future of Meta SuperIntelligence Lab’s infrastructure!
Qualifications
MS or BS in Computer Science or Electrical/Electronics Engineering or equivalent 3+ years of experience of directly managing or leading a team of engineers with varied skill levels Experience in leading teams working on high performance computing (HPC) and AI/ML systems, including: GPU/ASIC-based kernel development and optimization (e.g. CUDA) Distributed systems for large scale training and serving Systems Architecture + Performance Large scale distributed systems Experience running a large-scale program and dealing with ambiguity Familiarity with the latest techniques in optimizing GenAI workloads Using frameworks like PyTorch, TorchTriton to develop custom kernels Understands Kernel enablement and optimizations, including experience working on attention kernels Understanding GPU memory hierarchy and computation capabilities Understands low-level CUDA kernel optimizations for inference and training Experience with Quantization and structure sparsity for low precision training & inference Understands Optimizers such as Adam, Shampoo, Muon
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