AI/HPC/NeoCloud Pre-Sales System Engineer

Job not on LinkedIn

🔥 1 hour ago

🇦🇪 United Arab Emirates (UAE) – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔍 Pre-sales Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pure Storage

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Pure Storage is a leader in the field of data storage platforms, renowned for its innovative solutions in the industry. It has been consistently recognized as a leader in the Gartner Magic Quadrant for both Primary Storage Platforms and File and Object Storage Platforms, achieving the highest marks in Execution and Vision. Pure Storage provides scalable and sustainable storage solutions that cater to both enterprise and cloud needs, emphasizing zero downtime and seamless performance. It offers a range of services including AI infrastructure, cloud deployments, and data protection, making it a critical player in modern data management.

📋 Description

• Partner with Account Executives to identify and win net-new enterprise accounts, sovereign GPU clouds, and HPC clusters • Design high-performance, multi-tenant data pipelines and full-stack AI infrastructure optimized for GPU fabrics • Lead architectural workshops with GPU cluster architects and communicate ROI-driven narratives to C-level executives • Own multi-rack benchmarks, system configurations, and Proof of Value exercises • Guide customers from initial multi-petabyte deployments through long-term scaling strategies • Collaborate with strategic partners such as NVIDIA, Cisco, and Dell to qualify and integrate Everpure storage into customer chip allocations • Rapidly position next-generation engineering innovations in the field

🎯 Requirements

• Direct experience working alongside GPU cluster architects • Understanding of NVIDIA DGX architectures, InfiniBand, high-speed Ethernet fabrics, and cluster cabling • Mastery of high-performance file systems, distributed storage architectures, and multi-tenancy requirements • Experience with orchestration tools such as Slurm or Kubernetes • Deep understanding of modern AI pipelines, including raw ingestion, tokenization, model training, localized RAG deployments, and inference • Background selling or architecting infrastructure from high-performance scale-out storage builders, scale-out NAS vendors, or AI cloud providers • Proven track record of targeting and converting cold prospects into major clients • Ability to explain complex supercomputing concepts simply • Strong experience using industry-standard benchmarks and technical validation data to win RFPs/RFIs • Familiarity with the infrastructure landscape, major players, and sovereign cloud initiatives in the METCA region, specifically UAE and Saudi Arabia • BS/MS in Computer Science, Computer Engineering, or equivalent deep-field experience in distributed computing/HPC environments

🏖️ Benefits

• Flexible time off • Wellness resources • Company-sponsored team events • Growth and development support • Employee Resource Groups • Hiring-process accommodations for candidates with disabilities

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