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Meta
Menlo Park
**Summary:** In this role, you will be a member of the Network.AI Software team and part of the bigger DC networking organization. The team develops and owns the software stack around NCCL (NVIDIA Collective Communications Library), which enables multi-GPU and multi-node data communication through HPC-style collectives. NCCL has been integrated int
Job Source: MetaIntel
San Jose, CA, United States
Job Details: Job Description: The Intel Software and Advanced Technology Group's Microsoft Technology Center (MTC) delivers innovative, high quality software that differentiates Intel products and maximizes customer value. MTC's mission is to ensure Microsoft operating environments, tools, and key applications run best on Intel architecture and
Job Source: IntelNVIDIA
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Job Source: NVIDIAIntel
San Jose, CA, United States
Job Details: Job Description: The Intel Software and Advanced Technology Group's Microsoft Technology Center (MTC) delivers innovative, high quality software that differentiates Intel products and maximizes customer value. MTC's mission is to ensure Microsoft operating environments, tools, and key applications run best on Intel architecture a
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Job Details: Job Description: The Azure Solutions Engineering team within MTC at Intel has an opportunity available for a Senior Engineer to join our team and make significant impact on the bleeding edge Intel Hardware to be used by Microsoft Azure. You will work closely with Intel technology leaders and external partners to help optimize and
Job Source: IntelZoox
San Mateo, CA, United States
Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands both compute hardware architecture as well as the algorithms and middleware that run on it. Your contributions will be instrumental in achieving optimal power levels while maximizin
Job Source: ZooxZoox
Foster City, CA, United States
Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands both compute hardware architecture as well as the algorithms and middleware that run on it. Your contributions will be instrumental in achieving optimal power levels while maximizin
Job Source: ZooxZoox
Foster City, CA, United States
Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands both compute hardware architecture as well as the algorithms and middleware that run on it. Your contributions will be instrumental in achieving optimal power levels while maximizin
Job Source: ZooxMenlo Park, CA, United States
In this role, you will be a member of the Network.AI Software team and part of the bigger DC networking organization. The team develops and owns the software stack around NCCL (NVIDIA Collective Communications Library), which enables multi-GPU and multi-node data communication through HPC-style collectives. NCCL has been integrated into PyTorch and is on the critical path of multi-GPU distributed training. In other words, nearly every distributed GPU-based ML workload in Meta Production goes through the SW stack the team owns. At the high level, the team aims to enable Meta-wide ML products and innovations to leverage our large-scale GPU training and inference fleet through an observable, reliable and high-performance distributed AI/GPU communication stack. Currently, one of the team's focus is on building customized features, SW benchmarks, performance tuners and SW stacks around NCCL and PyTorch to improve the full-stack distributed ML reliability and performance (e.g. Large-Scale GenAI/LLM training) from the trainer down to the inter-GPU and network communication layer. And we are seeking for engineers to work on the space of GenAI/LLM scaling reliability and performance.
Software Engineer, SystemML - Scaling / Performance Responsibilities
Enabling reliable and highly scalable distributed ML training on Meta's large-scale GPU training infra with a focus on GenAI/LLM scaling
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Specialized experience in one or more of the following machine learning/deep learning domains: Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch).
Preferred Qualifications
PhD in Computer Science, Computer Engineering, or relevant technical field
Experience with NCCL and distributed GPU reliability/performance improvment on RoCE/Infiniband
Experience working with DL frameworks like PyTorch, Caffe2 or TensorFlow
Experience with both data parallel and model parallel training, such as Distributed Data Parallel, Fully Sharded Data Parallel (FSDP), Tensor Parallel, and Pipeline Parallel
Experience in AI framework and trainer development on accelerating large-scale distributed deep learning models
Experience in HPC and parallel computing
Knowledge of GPU architectures and CUDA programming
Knowledge of ML, deep learning and LLM
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Email Alert for Software Engineer, SystemML - Scaling / Performance jobs in Menlo Park, CA, United States
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