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Nvidia Senior HPC Performance Engineer 
United States, California 
877860252

24.06.2024
What you will be doing:
  • Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.

  • Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack

  • Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available

  • Triage and root-cause performance issues reported by our customers

  • Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information

  • Collaborate with a very dynamic team across multiple time zones

What we need to see:
  • M.S. (or equivalent experience) or PHD in Computer Science, or related field with relevant performance engineering and HPC experience

  • 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)

  • Experience conducting performance benchmarking and triage on large scale HPC clusters

  • Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)

  • Implement micro-benchmarks in C/C++, read and modify the code base when required

  • Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python

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

  • 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:
  • Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control

  • Experience debugging network issues in large scale deployments

  • Familiarity with CUDA programming and/or GPUs

  • Experience with Deep Learning Frameworks such PyTorch, TensorFlow

You will also be eligible for equity and .