High-Performance Storage Architect, NVIS
About The Position
NVIDIA is hiring a High-Performance Storage Architect for its Infrastructure Specialists team in Santa Clara, California. The role supports the development of large-scale AI Factories and involves working with modern technologies and customers across academic, commercial, and government groups. The architect is part of a customer-focused team responsible for executing storage deployments and collaborating with customers and internal teams. The position involves deploying, managing, and validating high-performance storage infrastructure in Linux-based AI Factory environments. The architect serves as a domain expert throughout customer planning and implementation, prepares and hands over documentation, and conducts knowledge transfers. The role also contributes feedback to internal teams by reporting bugs, documenting workarounds, and suggesting improvements. Regional travel to customer sites may be required up to 20% of the time.
Requirements
- At least 5 years of experience providing in-depth support, deployment, and validation services for hardware- and software-based storage products.
- Solid understanding of storage concepts and technologies, including SDS, NFS, S3, NVMeoF, Lustre, GPFS, and RDMA (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 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, Ansible, or similar tools.
- Outstanding interpersonal skills and the ability to resolve customer issues as they arise.
- Strong organizational skills and the ability to prioritize and multitask with limited supervision.
- Willingness to travel to customer sites within the region up to 20% of the time.
Nice To Haves
- 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 strong networking foundation, including Spectrum-X Ethernet, InfiniBand, and NVLink Switch fabric.
Responsibilities
- Deploy, manage, and validate high-performance storage infrastructure in Linux-based AI Factory environments.
- Serve as the storage domain expert during customer planning calls and implementation phases.
- Prepare and hand over documentation and conduct knowledge transfers to support customers.
- Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements.
- Travel to customer sites within the region up to 20% of the time.
Benefits
- Highly competitive salaries and a comprehensive benefits package.
- Equity and benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
