Data Platform Architect / ML Infrastructure

I’m working on a senior search for a well-funded European Physical AI / robotics company building AI and humanoid systems for real-world physical work.

This is not a standard SaaS data role. The team is building the data foundation for robotics and ML at scale: massive video streams, telemetry, metadata, edge-device data, and training-ready datasets.

The company is operating in semi-stealth, already has teams in Munich and Limassol, and is now assembling its core engineering group.

Location priority: Limassol, Cyprus. The main focus is on candidates already based in Cyprus or open to relocation to Cyprus. Munich can also be considered for exceptional profiles.

Why it can be interesting:

• early-stage role with real architecture ownership
• work directly with leadership and ML teams
• build the platform before the team scales
• Physical AI / robotics domain, not another generic SaaS product
• large-scale data: video, telemetry, edge-device streams, ML datasets
• company backed by strong internal funding and top-tier investor interest

Strong fit:

• 5+ years in data platform engineering, ML infrastructure, or distributed systems
• high-volume data ingestion / streaming pipelines
• cloud-native storage, retrieval, indexing, and dataset infrastructure
• experience with robotics, autonomous systems, video streaming, gaming, or large-scale ML/LLM data pipelines is highly relevant