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Company

Original Job Post

NVIDIA · 2 days ago

Senior AI-HPC Cluster Engineer

Florida, United States

Full-time

Onsite

Senior Level

$148K/yr - $339K/yr

5+ years exp

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Artificial Intelligence (AI)GPU

H1B Sponsorship

Growth Opportunities

Hiring Manager

Sarmita Chatterjee

Insider Connection @NVIDIA

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Responsibilities

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

Maintaining and building deep learning clusters at scale

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

Performing root cause analysis and suggesting corrective action for problems at various scales

Proactively finding and fixing problems before they occur

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Large Scale Compute Infrastructure DesignPerformance TuningCluster Configuration ManagementJob SchedulersContainer TechnologiesLinux Distros ProficiencyPython ProgrammingBash ScriptingMPI WorkflowsNVIDIA GPUsCuda ProgrammingNCCLMLPerf benchmarkingMachine LearningDeep LearningInfiniBandIBOPRDMALustreGPFSPyTorchTensorFlow

Required

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 AI/HPC workloads.

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

Experience with AI/HPC advanced job schedulers, and ideally familiarity with schedulers such as Slurm, K8s, RTDA or LSF

In depth understanding 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 AI/HPC workflows that use MPI

Preferred

Experience with NVIDIA GPUs, Cuda Programming, NCCL and MLPerf benchmarking

Experience with Machine Learning and Deep Learning concepts, algorithms and models

Familiarity with InfiniBand with IBOP and RDMA

Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads

Familiarity with deep learning frameworks like PyTorch and TensorFlow

Benefits

Equity

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (735)

2022 (892)

2021 (696)

2020 (534)