Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Nvidia Senior HPC Cluster Engineer in Yokneam, Israel

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today!

As a member of the GPU/HPC Infrastructure team, you will provide leadership in the design and implementation of ground breaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches 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.

NVIDIA is a Learning Machine

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

Learn more about NVIDIA .

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