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Amsterdam-Zuidoo…
1 week ago
Multimodal Data Engine Expert logo

Multimodal Data Engine Expert

European Tech Recruit

Amsterdam-Zuidoo…
1 week ago
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Multimodal Data Engine Expert

Join a global technology and R&D organisation as a Multimodal Data Engine Expert in Amsterdam, working on next-generation data infrastructure for LLMs, multimodal AI, and AI Agents. This role involves designing large-scale multimodal data processing platforms, building resource scheduling across CPU/GPU/NPU, and developing vector indexing and retrieval systems. Requires strong R&D background in databases, distributed systems, big data, or HPC, with programming skills in C, C++, Python, and/or Java.

Core AIHybridFull-timePrincipalCC++

Multimodal Data Engine Expert

Join a global technology and R&D organisation as a Multimodal Data Engine Expert in Amsterdam, working on next-generation data infrastructure for LLMs, multimodal AI, and AI Agents. This role involves designing large-scale multimodal data processing platforms, building resource scheduling across CPU/GPU/NPU, and developing vector indexing and retrieval systems. Requires strong R&D background in databases, distributed systems, big data, or HPC, with programming skills in C, C++, Python, and/or Java.

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Core AIHybridFull-timePrincipalC

Salary

Not specified

Work Location

Amsterdam-Zuidoost, North Holland, Netherlands, NL

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Principal/Staff Engineer

Core Qualifications

Technical (Must-have)
CC++PythonJavaDistributed SystemsDatabase SystemsBig DataHPCQuery OptimizersExecution EnginesStorage EnginesDistributed StorageIndexing SystemsCPUGPUNPUCloud PlatformsDevOps

Preferred Qualifications

Technical (Nice-to-have)
Vector DatabasesVector SearchMultimodal Data SystemsAI4DBLLM InfrastructureAI AgentsLLM Fine-tuningReinforcement LearningNLPComputer VisionVideo ProcessingTime-series Processing

Key Responsibilities

  • •Design and develop large-scale multimodal data processing and computing platforms.
  • •Build resource scheduling and pooling across CPU, GPU and NPU environments.
  • •Develop high-performance query optimisers, execution engines and retrieval systems for multimodal workloads.
  • •Design vector indexing, storage, metadata and retrieval capabilities.
  • •Develop distributed caching and near-compute data services to improve platform performance.
  • •Build AI-powered Data Agents and AI4DB solutions for intelligent data management and automation.
Multimodal DataAI InfrastructureDistributed SystemsDatabase SystemsHPCVector DatabasesAI4DBLLMPrincipal EngineerAmsterdam
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