[Hiring] Senior High-Performance Storage Engineer @NVIDIA

Role Description

NVIDIA is looking for a Senior High-Performance Storage Engineer to join its Infrastructure Specialists team. 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, automation, and validation.

What you will be doing:

• Deploying, managing, and validating High-Performance Storage infrastructure in AI Factory Linux-based environments.
• Being the domain expert with customers during planning calls through implementation.
• Providing handover-related documentation and performing knowledge transfers required to support customers.
• Providing feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

Qualifications

• 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.

Requirements

• 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.