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Nvidia Senior Software Engineer GPU Communications Networking 
United States, California 
602060163

24.06.2024

What you will be doing:

  • Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) andHPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.

  • Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM.

  • Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components.

  • Creating proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware.

What we need to see:

  • M.S./Ph.D. degree in CS/CE or equivalent experience.

  • 5+ years of relevant experience.

  • Excellent C/C++ programming and debugging skills.

  • Strong experience with Linux.

  • Expert understanding of computer system architecture and operating systems.

  • Experience with parallel programming interfaces and communication runtimes.

  • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

  • Deep understanding of technology and passionate about what you do.

  • Experience with CUDA programming and NVIDIA GPUs.

  • Knowledge of high-performance networks like InfiniBand, iWARP etc.

  • Experience with HPC applications.
  • Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
  • Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

You will also be eligible for equity and .