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Nvidia Senior System Software Engineer NCCL - Partner Enablement 
United States, Texas 
387722457

18.08.2024

What you will be doing:

  • Engage with our partners and customers to root cause functional and performance issues reported with NCCL

  • Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters

  • Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.)

  • Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters

  • Document and conduct trainings/webinars for NCCL

  • Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.

What we need to see:

  • B.S./M.S. degree in CS/CE or equivalent experience with 5+ years of relevant experience. Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)

  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

  • Experience working with engineering or academic research community supporting HPC or AI

  • Practical experience with high performance networking:Infiniband/RoCE/Ethernetnetworks, RDMA, topologies, congestion control

  • Expert in Linux fundamentals and a scripting language, preferably Python

  • Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible)

  • Adaptability and passion to learn new areas and tools

  • Flexibility to work and communicate effectively across different teams and timezones

Ways to stand out from the crowd:

  • Experience conducting performance benchmarking and developing infrastructure on HPC clusters. Prior system administration experience, esp for large clusters. Experience debugging network configuration issues in large scale deployments

  • Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow

  • Deep understanding of technology and passionate about what you do

You will also be eligible for equity and .