Optics11 Energy is the power-grid reliability arm of Optics11, focused on fiber-optic sensing and analytics for high- and medium-voltage equipment. Our flagship OptiFender platform delivers ultra-early, EMI-immune partial discharge (PD) detection and precise localization across transformers, cables, GIS/GIL and switchgear. We help TSOs/DSOs and industrial operators move from reactive repairs to predictive maintenance, improving safety, uptime, and total cost of ownership.
Key responsibilities:
- Design and implement advanced algorithms for our partial discharge monitoring platform.
- Translate complex business and engineering requirements into robust, production-ready algorithms.
- Collaborate with data scientists, software engineers, and domain experts to develop data analysis, feature extraction, and signal processing pipelines.
- Explore and analyse large-scale sensor and operational datasets to uncover actionable insights and improve system performance.
- Consult embedded and software teams to optimize algorithm integration into real-time and edge environments.
- Contribute to model validation, performance monitoring, and continuous improvement of deployed solutions.
What’s in it for you?
- Innovative high-tech, international organization.
- The opportunity to work in a cross-functional and interdisciplinary environment.
- A lot to learn and to develop, we stimulate personal development.
- A flat organization, the less hierarchy, the better.
Requirements
Technical skills:
- Expert-level proficiency in Python and common data science libraries (e.g., pandas, NumPy, SciPy, scikit-learn).
- Strong background in algorithm development, statistical analysis, and data modelling.
- Solid understanding of signal processing techniques (e.g., filtering, denoising, Fourier/wavelet transforms, PCA).
- Experience building and deploying machine learning models.
- Ability to relate data patterns to physical phenomena in real-world systems.
- Deep learning experience with PyTorch, TensorFlow, or JAX.
Nice-to-Have:
- Experience working with big data technologies and cloud platforms (AWS, Azure, GCP).
- Knowledge of database technologies (QuestDB, MongoDB, PostgreSQL).
- GPU programming experience (CUDA) or real-time edge deployment.
- Strong understanding of clean code structure, design patterns, maintainable code practices, and object-oriented programming.
- C/C++ experience.
Qualifications:
- You have at least 3 years of professional experience in data science with focus on sensor data analysis.
- Familiarity with real-time systems, edge computing, or predictive maintenance solutions is a plus.
- Experience contributing to end-to-end ML projects, from problem framing to deployment and monitoring.
- M.Sc. or Ph.D. degree in a relevant discipline in science or engineering.
- Strong analytical and problem-solving skills.
- Excellent practical knowledge of mathematics, physics, data science techniques.
- You have a can-do mentality with no fear of getting your hands dirty when needed.
- You have strong verbal and written communication skills in English.
- You can work independently as well as in a team with well-developed communication skills.
Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.
