CommunityJobsAdviceEventsReviewsFor EmployersFor ClientsCoach Connect
CommunityJobsAdviceEvents
JOB SEARCH

Senior HPC Cluster Engineer

NVIDIA

2.7

(9)

Multiple Locations

#JR1972021

Position summary

oaches for our GPU Compute Clusters. As an expert, you will help us with the strategic challenges we encounter including: compute, networking, and storage design for large scale, high performance workloads, effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and growth planning across our global computing environment.

What you'll be doing:

  • Building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions

  • Maintaining and building deep learning clusters at scale

  • Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows

  • Root cause analysis and suggest corrective action for problems large and small scales

  • Finding and fixing problems before they occur

What we need to see:

  • Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience.

  • Minimum 5 years of experience designing and operating large scale compute infrastructure.

  • Experience analyzing and tuning performance for a variety of HPC workloads.

  • Working knowledge of cluster configuration managements tools such as Ansible, Puppet, Salt.

  • Experience with HPC cluster job schedulers such as SLURM, LSF

  • In depth understating of container technologies like Docker, Singularity, Shifter, Charliecloud

  • Proficient in Centos/RHEL and/or Ubuntu Linux distros including Python programming and bash scripting

  • Experience with HPC workflows that use MPI

Ways to stand out from the crowd:

  • Understanding of MLPerf benchmarking

  • Familiarity with InfiniBand with IBOP and RDMA

  • Understanding of fast, distributed storage systems like Lustre and GPFS for HPC workloads.

  • Background with Software Defined Networking and HPC cluster networking

  • Familuarity with deep learning frameworks like PyTorch and TensorFlow

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

#LI-Hybrid