Senior AI Storage Software Architect

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Independence","Adaptability","Problem-solving"]

Design the software architecture for AI storage used in training and inference clusters, including KV cache and RAG workflows. Research AI storage workloads, prototype optimizations, and define AI storage software stacks with APIs and offload capabilities. Lead hands-on POCs and partner across hardware and software teams to drive next-gen features for NVIDIA DPUs and NICs, collaborating with customers and partners to deliver new solutions.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior AI Storage Software Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design the software architecture for AI storage used in training and inference clusters, including KV cache and RAG workflows. Research AI storage workloads, prototype optimizations, and define AI storage software stacks with APIs and offload capabilities. Lead hands-on POCs and partner across hardware and software teams to drive next-gen features for NVIDIA DPUs and NICs, collaborating with customers and partners to deliver new solutions.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Define how storage for AI clusters should look.
  • •Research and analyze AI storage workloads and prototype optimizations.
  • •Design the storage software stack for AI, including APIs and offloads.
  • •Lead hands-on POCs and drive next-generation work with DPUs and NICs.
  • •Drive new solutions based on issues that arise in collaboration with customers and partners.

Key Requirements

  • •B.Sc., M.Sc., or Ph.D. in Computer Science or related discipline.
  • •5+ years of experience in a storage company as senior developer or an architect.
  • •Experience with AI applications, training and inference, KV cache, RAG, vLLM, NIMs, etc.
  • •Ability to quickly adapt to new technology and go deep into new areas.
  • •Strong communication skills and ability to work with customers and partners.
Experience:5+ yearsAIStorageInfrastructure
Education:Bachelor's in Computer Science
Skills:CommunicationIndependenceAdaptabilityProblem-solving
Tech Stack:AIKV cacheRAGVLLMNIMsDPUsNICsAPIsPOCsStorage software

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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