Senior Deep Learning Communication Architect
NVIDIA(1 month ago)
About this role
A Deep Learning Communication Architect at NVIDIA works within the software architecture group to advance communication technologies and architectures that enable large-scale deep learning on GPU-accelerated systems. The role supports research, system design, and deployment efforts to ensure DNN models and training/inference frameworks scale efficiently across high-performance clusters. It contributes to quantitative evaluation and modeling of new communication strategies for next-generation AI workloads.
Required Skills
- Deep Learning
- DNNs
- Parallelism
- LLMs
- Distributed Training
- Communication Protocols
- Performance Optimization
- PyTorch
- TensorRT
- C++
+7 more
Qualifications
- Ph.D. in Computer Science or Electrical Engineering
- MS in Computer Science or Electrical Engineering
- BS in Computer Science or Electrical Engineering
About NVIDIA
nvidia.comNVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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