Senior High-Performance Storage Engineer

NVIDIA; France; Sur place; EUR 100 000 - 140 000; Plein temps

Résumé du poste

NVIDIA is seeking a Senior High-Performance Storage Engineer to join its Infrastructure Specialists team in France. You will deploy, manage and validate HPC storage in AI Factory Linux environments, collaborating with customers, partners and internal teams to analyze requirements and implement large-scale storage solutions.

The role requires 5+ years in storage, expertise in SDS/NFS/S3/NVMeoF/Lustre/GPFS/RDMA, scripting, and strong communication.

Qualifications

• Four-year degree in CS, Electrical or Computer Engineering or equivalent.
• 5+ years in in-depth storage support, deployment and validation.
• Expertise in SDS, NFS, S3, NVMeoF, Lustre, GPFS, and RDMA (RoCEv2/InfiniBand).
• Experience with storage benchmarking tools: FIO, IO500, IOR, HPL, NCCL tests.
• Linux administration, performance reporting/optimization/logging, networking.
• Scripting: Bash, Python, Ansible.
• Strong customer-facing communication and organizational skills.
• Willingness to travel up to 20% within the region.

Responsabilités

• Deploy, manage, and validate High-Performance Storage in AI Factory Linux environments.
• Be the domain expert with customers during planning calls through implementation.
• Handover documentation and knowledge transfers to support customers.
• Provide feedback to internal teams by opening bugs and documenting workarounds.

Connaissances

Storage engineering

Linux administration

Networking

Scripting

Performance tuning

Interpersonal skills

Organization

Formation

Bachelor's degree in CS/EE/CE

Outils

FIO

IO500

IOR

HPL

NCCL tests

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.