Founding Data Lead

Lucé Robotics; Paris; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Lucé Robotics in France seeks a data/infrastructure engineer to own the data stack from edge devices to the cloud. You will build production pipelines moving large sensor datasets, implement data quality and anomaly alerts, and support compute and ML training infrastructure.

You will collaborate with ML engineers and customers on reports, leveraging Python/SQL and cloud platforms (GCP/AWS). Real work over credentials drives our hiring and you’ll talk to customers about reports and datasets.

Qualifications

• Background as a data or infrastructure engineer, ideally in robotics, autonomous vehicles or geospatial/drone imagery.
• Has built production pipelines that move large sensor datasets from edge devices to the cloud.
• Strong Python/SQL and cloud skills (GCP/AWS), experience with ML dataset tooling.

Responsibilities

• The data stack from robot to cloud: recording, formats, versioning, storage, transfer and access, for inspection and manipulation data.
• Analysis pipeline: defect detection, georeferenced asset mapping and automated customer reports, integrated with the asset-management tools customers already use.
• Data quality and anomaly alerting, both on the robot and off it.
• Compute and training infrastructure, cloud costs and cloud-provider relationships.

Skills

Python

SQL

Cloud (GCP/AWS)

ML datasets tooling

Stakeholder communication

Tools

GCP

AWS

Job description

Every mission our robots run ends up in your hands. You'll turn it into what customers act on and what makes the next robot smarter.

What you'll own

• The data stack from robot to cloud: recording, formats, versioning, storage, transfer and access, for inspection and manipulation data
• Analysis pipeline: defect detection, georeferenced asset mapping and automated customer reports, integrated with the asset-management tools customers already use
• Data quality and anomaly alerting, both on the robot and off it
• Compute and training infrastructure, cloud costs and cloud-provider relationships

Profile

• Background as a data or infrastructure engineer, ideally in robotics, autonomous vehicles or geospatial/drone imagery
• Has built production pipelines that move large sensor datasets from edge devices to the cloud
• Strong Python/SQL and cloud skills (GCP/AWS), experience with ML dataset tooling
• Can talk to customers about reports and to ML engineers about datasets

What we look for

Real work over credentials. Show us what you have built: projects, a portfolio, open source, what you shipped in past roles. That's what we look at first.