AI-Driven Storage Solutions Architect for AI & HPC

Doist; France; À distance; EUR 65 000 - 110 000; Plein temps

Résumé du poste

Doist is seeking a Sales Engineer to architect high-performance storage solutions across finance, pharmaceuticals, education, and AI-powered domains. You’ll translate complex requirements into scalable storage systems, demonstrate capabilities via POCs and benchmarks, and act as a trusted advisor throughout the sales cycle.

You will design for AI workloads, HPC, and data analytics, collaborating with Product and Engineering to shape future offerings while mentoring teammates and driving customer

Qualifications

• Bachelor's in Computer Science, Engineering, or related field (or equivalent experience).
• Exposure to storage/systems through coursework, internships, or projects.
• Strong analytical and problem-solving skills.
• Customer-facing communication skills.

Responsabilités

• Partner with customers to understand data challenges across industries.
• Translate requirements into scalable storage solutions.
• Act as trusted technical advisor throughout the sales cycle.
• Architect storage for AI/ML training and HPC workloads.
• Design for reliability, security, and scale.
• Create BOMs, architectures, and proposals for complex RFPs.
• Conduct live demos, POCs, and performance benchmarking.
• Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks.

Connaissances

Storage architectures

Customer engagement

POCs & benchmarking

AI/ML infrastructure familiarity

Executive communication

Formation

Bachelor's in CS/Engineering or related field

Outils

GPFS

Lustre

Exascale

Kubernetes

Description du poste

Doist is seeking a Sales Engineer to architect high-performance storage solutions across finance, pharmaceuticals, education, and AI-powered domains. You’ll translate complex requirements into scalable storage systems, demonstrate capabilities via POCs and benchmarks, and act as a trusted advisor throughout the sales cycle.

You will design for AI workloads, HPC, and data analytics, collaborating with Product and Engineering to shape future offerings while mentoring teammates and driving customer