P

Pure Storage

Delivers all-flash storage hardware and services

AI/HPC/Neocloud Pre-Sales System Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeDubai - United Arab EmiratesNo salary listedIn-person

About the Job

Requirements

  • Direct experience working alongside GPU cluster architects and understanding adjacent compute and networking layers, including NVIDIA DGX architectures, InfiniBand, high-speed Ethernet fabrics, and cluster cabling.
  • Mastery of high-performance file systems, distributed storage architectures, multi-tenancy requirements, and orchestration tools such as Slurm or Kubernetes.
  • Deep understanding of AI data pipelines, including raw ingestion, tokenization, model training, localized retrieval-augmented generation deployments, and inference.
  • Background selling or architecting infrastructure from high-performance scale-out storage builders, scale-out NAS vendors, or AI cloud providers such as Neo-scalers or boutique GPU-as-a-Service providers.
  • A proven track record of targeting and converting cold prospects into major clients and pursuing complex structural deals.
  • Ability to explain complex supercomputing concepts simply and apply business acumen.
  • Strong experience using industry-standard benchmarks and technical validation data to compete in RFPs and RFIs.
  • Ability to ramp up quickly on next-generation engineering rollouts, including high-density QLC innovations and new architectural frameworks, and position them in the field.
  • Deep familiarity with the infrastructure landscape, major players, and sovereign cloud initiatives in the METCA region, particularly the UAE and Saudi Arabia, and awareness of wider global drivers and Tier-1 projects.
  • A BS or MS in Computer Science or Computer Engineering, or equivalent deep-field experience in distributed computing or high-performance computing environments.

Responsibilities

  • Partner with Account Executives to map and break into new enterprise accounts, sovereign GPU clouds, and high-performance computing clusters.
  • Design high-performance, multi-tenant data pipelines and full-stack environments, optimizing interactions between data nodes within large GPU fabrics.
  • Lead architectural workshops with customer GPU cluster architects and translate engineering concepts into return-on-investment narratives for C-level executives.
  • Own complex, multi-rack benchmarks, system configurations, and Proof of Value exercises to demonstrate the company's architecture against competitors.
  • Guide customers from initial multi-petabyte deployments through long-term scaling strategies, designing solutions that let them mix, match, and expand data nodes over time.
  • Collaborate with strategic alliance partners, including NVIDIA, Cisco, and Dell, to qualify and integrate the company's flash storage into customer chip allocations.

About the Company

Pure Storage

Delivers all-flash storage hardware and services

Pure Storage provides data storage solutions including all-flash storage arrays, cloud storage, hybrid cloud, and data protection services. Its products work by using flash memory to deliver fast data access, with Evergreen One offering a subscription-based, continuous update and maintenance model that keeps hardware and software up to date without replacing hardware. The company differentiates itself from competitors through a focus on high-performance all-flash storage, scalable data management, and a subscription-based Evergreen model that sustains ongoing software/firmware updates. Its goal is to help businesses manage, protect, and access their data efficiently at scale with sustainable, environmentally friendly storage solutions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2009

Recently Posted Jobs

Explore more opportunities at Pure Storage

See more jobs