Senior High-Performance Storage Engineer

NVIDIA; United States; Remote; USD 140.000 - 180.000; Vollzeit

Zusammenfassung

NVIDIA seeks a Senior High-Performance Storage Engineer to join the Infrastructure Specialists team. The role involves deploying, managing, and validating high-performance storage in AI Factory Linux environments, working closely with customers, partners, and internal teams to plan and implement large-scale AI projects.

You will serve as the storage domain expert, handle knowledge transfers, and contribute improvements through bug reports and documentation. Up to 20% travel may be required.

Qualifikationen

• 4-year degree or equivalent experience in CS/EE.
• 5+ years in in-depth support, deployment, and validation for storage products.
• Expertise in SDS, NFS, S3, NVMe-oF, Lustre, GPFS, and RMDA (RoCEv2/InfiniBand).
• Experience with storage benchmarking tools (FIO, IO500, IOR, HPL, NCCL tests, MLPerf storage).
• Linux system administration, performance reporting/optimization, and advanced networking.
• Scripting proficiency (Bash, Python, Ansible).
• Strong interpersonal skills, ability to work with customers and travel up to 20%.

Aufgaben

• Deploy, manage, and validate High-Performance Storage infrastructure in AI Factory Linux environments.
• Serve as domain expert during planning calls through implementation.
• Perform handover documentation and knowledge transfers for support teams.
• Provide feedback to internal teams by reporting bugs and suggesting improvements.

Kenntnisse

Storage concepts

Linux administration

Scripting

Networking

Performance tuning

Python

Ansible

FIO/IO500 testing

Ausbildung

Bachelor's degree in CS/EE or equivalent

Tools

FIO

IO500

IOR

NCCL tests

Jobbeschreibung

NVIDIA is looking for a Senior High-Performance Storage Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Factories in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Factory projects. These efforts include a combination of networking, system design and automation and validation.

What you will be doing:

• Primary responsibilities will include deploying, managing, and validating High-Performance Storage infrastructure in AI Factory Linux-based environments.
• Be the domain expert with customers during planning calls through implementation.
• Handover-related documentation and perform knowledge transfers required to support customers.
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

• Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.
• 5+ years in providing in-depth support, deployment, and validation services; solving problems for hardware and software based storage products.
• Expertise in systems and storage concepts and technologies including: SDS, NFS, S3, NVMeoF, Lustre, GPFS, and RMDA (RoCEv2/InfiniBand.)
• Experience with storage benchmarking tools such as FIO, IO500, IOR, HPL, NCCL tests, MLPerf storage.
• Linux system administration, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring)
• Scripting proficiency (Bash, Python, Ansible, etc.).
• Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
• Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
• An ability 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.