Senior AI Data Infrastructure Lead for Multimodal Systems

Qplox engineering; Noord-Holland; On-site; EUR 110,000 - 170,000; Full time

Job summary

Qplox engineering seeks a senior technical expert to shape the next generation of AI-native data infrastructure for multimodal AI and autonomous agents. You will work at the intersection of distributed systems, databases, HPC, multimodal AI, and cloud infrastructure to design scalable systems handling massive heterogeneous data across CPUs, GPUs, and NPUs.

Lead architecture, develop high-performance data processing, storage, and indexing components, and collaborate with international teams to

Qualifications

• Extensive experience with database and distributed systems.
• Proficient in C/C++, Python, or Java.
• Experience with vector databases and AI4DB is valued.

Responsibilities

• Define architecture and technical direction for multimodal data platforms.
• Develop high-performance data processing, query, storage, and indexing systems.
• Design scheduling, resource pooling, and distributed caching across heterogeneous compute.
• Explore AI4DB, LLMs, and AI agents to automate data platforms.
• Prototype emerging technologies and translate research into practical systems.
• Collaborate with international teams to drive new tech directions.

Skills

Database systems

Distributed systems

Big data

Cloud infrastructure

HPC

C/C++

Python

Java

Multimodal AI

Tools

Vector databases

Query engines

Storage engines

Heterogeneous compute

Job description

Qplox engineering seeks a senior technical expert to shape the next generation of AI-native data infrastructure for multimodal AI and autonomous agents. You will work at the intersection of distributed systems, databases, HPC, multimodal AI, and cloud infrastructure to design scalable systems handling massive heterogeneous data across CPUs, GPUs, and NPUs.

Lead architecture, develop high-performance data processing, storage, and indexing components, and collaborate with international teams to