AI/HPC/NeoCloud Pre-Sales System Engineer

Pure Storage

. Partner with Account Executives to identify and win net-new enterprise accounts, sovereign GPU clouds, and HPC clusters .

Posted 11/2/2026full-timeRemote • United Arab EmiratesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing high-performance, multi-tenant data pipelines and AI infrastructure, with a strong focus on GPU technologies and orchestration tools. Proven ability to lead architectural discussions and effectively communicate complex concepts to C-level executives.

Highest-signal resume keywords

GPU Cluster Architecture ExperienceNVIDIA DGX Architecture UnderstandingHigh-Performance File Systems MasteryOrchestration Tools ProficiencyAI Pipeline Development Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

High-Performance File SystemsDistributed Storage ArchitecturesMulti-Tenancy RequirementsAI Pipeline DevelopmentModel TrainingInference TechniquesTokenizationBenchmarkingTechnical ValidationCold Prospect Conversion

Soft Skills

Complex Concept CommunicationCollaboration with Strategic Partners

Tools & Technologies

SlurmKubernetesInfiniBandHigh-Speed Ethernet FabricsEverpure Storage

Certifications & Qualifications

BS/MS in Computer ScienceBS/MS in Computer Engineering

Industry Keywords

Sovereign GPU CloudsHPC ClustersMulti-Rack BenchmarksProof of Value ExercisesMETCA RegionUAESaudi Arabia

Tech Stack

Tools & technologies

CloudKubernetes

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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