Teams at Optics11 B.V.

Develop and deploy data-science and machine-learning algorithms for partial-discharge monitoring and predictive maintenance. Analyze sensor, time-series, and operational data using signal processing, feature engineering, statistical modeling, and machine learning. Collaborate with embedded, hardware, software, and platform teams to integrate algorithms into cloud and edge environments, while monitoring model performance and supporting retraining and continuous improvement.

Develop and validate photonic components and fiber-optic subsystems throughout the product lifecycle. Perform optical measurements, characterization, integration, and laboratory testing; analyze results, troubleshoot root causes, and improve product robustness, reliability, and manufacturability. Collaborate with multidisciplinary engineering teams on sensing technology development, verification, prototypes, and product realization. Python is used for data analysis, automation, and test development. Security screening and eligibility for EU/NATO clearance are required.

Develop and execute manual and automated tests for edge and cloud software platforms, including APIs, databases, user interfaces, hardware integrations, and distributed systems. Define test strategies, cases, acceptance criteria, and quality gates; maintain automation frameworks and GitLab CI/CD pipelines; investigate defects and reliability issues; validate performance, synchronization, and recovery scenarios; and collaborate with multidisciplinary engineering teams on release readiness and continuous quality improvement.