← All roles

Senior System Software Architect, HPC and AI Networking

NVIDIA· Architect
Apply on company site
ShanghaiFull-timePosted 7mo ago

About the role

HPC and AI Inference Software Architect to shape scalable AI infrastructure focusing on distributed training, real-time inference, and communication optimization across large-scale systems.

Responsibilities

  • Design and prototype scalable software systems that optimize distributed AI training and inference—focusing on throughput, latency, and memory efficiency.
  • Develop and evaluate enhancements to communication libraries such as NCCL, UCX, and UCC, tailored to the unique demands of deep learning workloads.
  • Collaborate with AI framework teams (e.g., TensorFlow, PyTorch, JAX) to improve integration, performance, and reliability of communication backends.
  • Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving.
  • Contribute to the evolution of runtime systems, communication libraries, and AI-specific protocol layers.
  • Collaborate with customers to understand their needs and provide innovative solutions for them.

Qualifications

  • Ph.D, Masters, or Bachelors in computer science, computer engineering, electrical engineering or a closely related field.
  • 5+ years of experience in DNNs, Scaling of DNNs, Parallelism of DNN frameworks, or deep learning training workloads.
  • Deep understanding of Inference and Training workloads and optimizations, like Prefill/Decode, data parallelism, Tensor parallelism, FDSP, etc...
  • Experience with AI network parallelism using collective libraries and RDMA/RoCE.
  • Background in algorithm design, system programming, and computer architecture.
  • Strong programming and software development skills.
  • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Skills

Required:Distributed trainingInference optimizationCommunication librariesAI framework collaboration
Nice to have:RDMA/RoCE

Benefits

  • NVIDIA is committed to fostering a diverse work environment and equal opportunity employer.
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA