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NVIDIA

Designs the chips and software that power AI

High-Performance Storage Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience providing in-depth support, deployment, and validation services for hardware- and software-based storage products.
  • Solid understanding and experience with storage concepts and technologies, including software-defined storage, Network File System, Simple Storage Service, Non-Volatile Memory Express over Fabrics, Lustre, General Parallel File System, and Remote Direct Memory Access using RoCEv2 or InfiniBand.
  • Familiarity with storage benchmarking tools such as FIO, IO500, IOR, High-Performance Linpack, NCCL tests, and MLPerf Storage.
  • Proficiency in Linux system administration, performance reporting, optimization and logging, and network routing and advanced networking, including tuning and monitoring.
  • A four-year degree in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent experience.
  • Scripting proficiency in Bash, Python, and Ansible.
  • Ability to deliver resolutions for customer issues as they arise.
  • Strong organizational skills and ability to prioritize and multitask with limited supervision.
  • Willingness to travel to customer sites within the region up to 20% of the time.

Responsibilities

  • Deploy, manage, and validate high-performance storage infrastructure within AI Factory Linux-based environments.
  • Act as the domain expert during customer planning calls through implementation phases.
  • Create and hand over documentation and perform knowledge transfers to support customers.
  • Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements.

Desired Qualifications

  • Experience with parallel and distributed filesystem products such as Ceph, Weka.io, Vast, and DDN.
  • Expertise in optimizing storage performance for AI training, checkpointing, inference, or large-scale data pipelines.
  • A proven foundation in networking, including Spectrum-X Ethernet, InfiniBand, and NVLink Switch fabric.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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