Senior High-Performance Storage Engineer

NVIDIA Development France SAS; France; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

NVIDIA Development France SAS is seeking a Senior High-Performance Storage Engineer to join its Infrastructure Specialists team. You will deploy, manage, and validate high-performance storage in AI Factory Linux environments and serve as the domain expert with customers from planning through implementation.

You will document handovers, transfer knowledge to support teams, and provide feedback to internal groups on bugs and improvements. Expect travel up to 20% to customer sites across the region.

Qualifications

• Bachelor's degree or higher in CS/EE or equivalent experience.
• 5+ years of deployment, support and validation of storage hardware/software.
• Expertise in storage concepts: SDS, NFS, S3, NVMeoF, Lustre, GPFS, RDMA.
• Experience with storage benchmarking tools: FIO, IO500, IOR, HPL, NCCL tests, MLPerf storage.
• Linux system administration, performance reporting/optimization, and networking (tuning/monitoring).
• Scripting proficiency (Bash, Python, Ansible).
• Excellent interpersonal skills and customer-focused problem solving.
• Willingness to travel to customer sites up to 20%.

Responsabilités

• Deploy, manage, and validate High-Performance Storage in AI Factory Linux environments.
• Serve as domain expert with customers from planning to implementation.
• Provide handover docs and knowledge transfer to support teams.
• Give feedback to internal teams by reporting bugs and workarounds.

Connaissances

Linux administration

Scripting: Bash/Python/Ansible

Interpersonal skills

Performance tuning

Networking/InfiniBand

Formation

4-year degree in CS/EE or equivalent

Outils

FIO

IO500

IOR

HPL

NCCL tests

MLPerf storage

SDS

NFS

S3

NVMeoF

Lustre

GPFS

RDMA (RoCEv2/InfiniBand)

Description du poste

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.