Nvidia Senior System Software Engineer NCCL - Partner Enablement 

Switzerland, Vaud 

640009154

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