NVIDIASenior High-Performance Storage Architect - NVIS
NVIDIA is hiring a Senior High-Performance Storage Architect - NVIS for a remote role open to applicants in Australia. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include Linux, Sds and Nfs.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Deploy, manage, and validate high-performance storage infrastructure for large-scale AI factory environments.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is seeking a Senior High-Performance Storage Architect to join our Infrastructure Specialists team in Santa Clara, CA. Here, you'll be at the forefront of innovation, contributing to the development of the largest and fastest AI Factories in the world. This role offers an outstanding opportunity to work with modern technologies and interact with academic, commercial, and government groups globally. You'll be part of a dynamic, customer-focused team that thrives on flawless execution and remarkable collaboration!
What you'll be doing:
Deploying, managing, and validating High-Performance Storage infrastructure within AI Factory Linux-based environments.
Acting as the domain expert during customer planning calls through implementation phases.
Crafting and handing over documentation and performing knowledge transfers to support customers.
Providing feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements.
What we need to see:
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 fabrics, congestion control, and datacenter topologies.
How we rate this
Senior High-Performance Storage Architect - NVIS at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where storage architecture was part of your work. What did you do?
- Tell me about a project where high performance computing was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Tell me about a project where hardware validation was part of your work. What did you do?
- Tell me about a project where networking was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Storage Architecture, High Performance Computing, Infrastructure, Hardware Validation, and Networking. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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