Staff Robotics Data Engineer, Validation & Metrics (m/f/d)
Core
Architect the central data infrastructure and validation systems for autonomous robotic fleets, transforming raw sensor and simulation data into reliable engineering insights.
Role type
Staff Robotics Data Engineer (Validation & Metrics)
Builds
Unified data architecture, scalable multi-stage pipelines, data quality standards, metrics engine, and reusable validation frameworks for autonomous systems.
Domain
Robotics, Autonomous Systems, Defense Technology
Deliverable
production ML models | infrastructure
Required skills
Python, C++, large-scale data processing, multi-stage pipeline design, robotics data challenges (timestamps, coordinate frames), distributed/cloud data systems, metrics engineering, system validation.
Preferred skills
None stated.
Technologies
None explicitly listed beyond Python/C++.
Responsibilities
Design technical vision and architecture for data systems connecting fleet operations and telemetry; build pipelines transforming raw robotics data into analysis-ready datasets; establish data quality standards and schemas; develop automated validation rules for time-series and event-based data; create frameworks for evaluating system performance across vehicles and test campaigns; mentor engineers on data best practices.
Seniority
Staff, hands-on IC with architectural leadership
