DDN
Overview
Employer Industry: AI and Data Storage Solutions Why consider this job opportunity
Opportunity for career advancement and growth within the organization Work remotely with preferred location on the East Coast Be part of a company recognized as a leader in AI and high-performance data storage Collaborate with a passionate team dedicated to innovation and customer success Chance to make a significant impact in the evolving landscape of AI and data management What to Expect (Job Responsibilities)
Lead technical discovery and solution architecture for storage-centric opportunities with AI-readiness considerations Design and present high-performance, reliable, and scalable storage architectures for various data workloads Conduct POCs, benchmarking, and live demos aligned with customer goals Develop Bills of Materials (BoMs), solution blueprints, and RFP responses Provide consultative guidance on integrating storage systems into data pipelines and GPU clusters What is Required (Qualifications)
8+ years of experience in pre-sales engineering, solutions architecture, or enterprise storage design Strong technical foundation in SAN, NAS, Object Storage, and Parallel File Systems (e.g., Exascaler, GPFS, Lustre) Familiarity with supporting AI/data analytics workflows, including understanding of I/O patterns and performance tuning Ability to whiteboard and present technical concepts to both engineering and executive-level stakeholders How to Stand Out (Preferred Qualifications)
Exposure to AI/ML infrastructure, such as NVIDIA GPUs, Kubernetes, and AI data pipelines Experience designing storage backends for data lakes, RAG pipelines, or vector databases Familiarity with hybrid and multi-cloud architectures Bachelor's degree in Computer Science, Electrical Engineering, or related technical field #AI #DataStorage #SalesEngineering #RemoteWork #CareerOpportunity
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Employer Industry: AI and Data Storage Solutions Why consider this job opportunity
Opportunity for career advancement and growth within the organization Work remotely with preferred location on the East Coast Be part of a company recognized as a leader in AI and high-performance data storage Collaborate with a passionate team dedicated to innovation and customer success Chance to make a significant impact in the evolving landscape of AI and data management What to Expect (Job Responsibilities)
Lead technical discovery and solution architecture for storage-centric opportunities with AI-readiness considerations Design and present high-performance, reliable, and scalable storage architectures for various data workloads Conduct POCs, benchmarking, and live demos aligned with customer goals Develop Bills of Materials (BoMs), solution blueprints, and RFP responses Provide consultative guidance on integrating storage systems into data pipelines and GPU clusters What is Required (Qualifications)
8+ years of experience in pre-sales engineering, solutions architecture, or enterprise storage design Strong technical foundation in SAN, NAS, Object Storage, and Parallel File Systems (e.g., Exascaler, GPFS, Lustre) Familiarity with supporting AI/data analytics workflows, including understanding of I/O patterns and performance tuning Ability to whiteboard and present technical concepts to both engineering and executive-level stakeholders How to Stand Out (Preferred Qualifications)
Exposure to AI/ML infrastructure, such as NVIDIA GPUs, Kubernetes, and AI data pipelines Experience designing storage backends for data lakes, RAG pipelines, or vector databases Familiarity with hybrid and multi-cloud architectures Bachelor's degree in Computer Science, Electrical Engineering, or related technical field #AI #DataStorage #SalesEngineering #RemoteWork #CareerOpportunity
#J-18808-Ljbffr