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# Senior High-Performance Storage Architect - NVIS

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $148,000.0 - $235,750.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Bash Shell, Computer Engineering, Linux, Ethernet, General Parallel File Systems, InfiniBand, Python (Programming Language), Linux System Administration, Ansible, Ceph (Software), Data Logging, Scripting, Graphics Processing Unit (GPU), Storage Technologies, Information Technology, Performance Monitor, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-high-performance-storage-architect-nvis-ca--b0b80efd-164d-463d-908f-d820a5570a9f

## About the Role

Storage Architecture, Autonomous Driving Systems, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Storage Architecture, Customer Relations, Linux Operating System, Documentation, Customer Support/Service, Knowledge Transfer, * 8+ 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 SDS, NFS, S3, NVMeoF, Lustre, GPFS, and RMDA (RoCEv2/InfiniBand).
 * Familiarity with storage benchmarking tools such as FIO, IO500, IOR, HPL, NCCL tests, and MLPerf storage.
 * Proficiency in Linux system administration, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring).
 * A four-year degree in Computer Science, Electrical or Computer Engineering, or equivalent experience.
 * Scripting proficiency in Bash, Python, Ansible, etc.
 * Outstanding interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
 * Strong organizational skills and ability to prioritize and multi-task with limited supervision.
 * Willingness to travel to customer sites within the region up to 20% of the time.

Ways to stand out from the crowd:

 * Experience with parallel and distributed filesystem products (Ceph, Weka.io, Vast, DDN, etc.).
 * Expertise in optimizing storage performance for AI training, checkpointing, inference, or large-scale data pipelines.
 * Proven foundation in networking: Spectrum-X Ethernet, InfiniBand, NVLink Switch fab.