Optical Measurements, Data & Display Engineering

Specialist Optical Measurements, Data & Display Engineering

This position brings together optical metrology, data analysis, and a basic understanding of display electronics in one interdisciplinary role. We are looking for a curious and motivated engineer who enjoys working across technical domains and connecting measurement results with system-level understanding. The role is embedded in automotive display development and offers the opportunity to work at the interface of optics, electronics, and data-driven engineering. We encourage candidates who are interested in using modern digital tools and artificial intelligence to improve engineering workflows. Experience with AI-supported methods is welcome, and we are open to candidates who are eager to further develop their skills in this area.

Experience: 5 to 12 Years

Optical Metrology & Measurements Prepare and maintain optical measurement setups for displays and input devices Perform photometric and colorimetric measurements (e.g. luminance, uniformity, color, contrast, mura) Analyze optical measurement results and support root cause investigations Document measurement setups, parameters, and results Create measurement reports and present results to international project teams Support calibration and continuous improvement of optical equipment and processes

Data Management, Automation & Analysis Support quality, availability, and traceability of optical, production, and test data Contribute to data validation and monitoring concepts Assist in developing data pipelines for measurement and production data Support automation of data processing, KPI calculation, and reporting Help extract meaningful insights from datasets and relate them to technical questions Contribute to dashboards and data visualization tools (e.g. Power BI, Python-based tools)

Display Electronics & Interface Understanding Support optical validation activities while considering display driving conditions Develop understanding of display timing parameters and signal interfaces Gain familiarity with automotive video interfaces (e.g., GMSL2/3, FPD-Link III/IV, LVDS, HDMI) Collaborate with system and hardware engineers on display-related topics Support debugging activities by correlating optical behavior with system conditions

Digital & AI-Supported Engineering Explore the use of AI-based tools to increase efficiency in measurement evaluation and data analysis Support development of automated workflows for anomaly detection and reporting Use modern digital tools to simplify documentation and data handling tasks Contribute ideas on how digital methods can improve validation processes

QUALIFICATIONS

Education & Experience University degree in Optics, Physics, Electrical Engineering, Automation, Computer Science, Informatics, or a comparable field Initial experience in optical measurements, laboratory environments, or testing is welcome Experience in data analysis or automation is an advantage

Optical & Technical Skills Understanding of photometric and colorimetric measurement methods Interest in display technologies (LCD, OLED, MicroLED, optical films, LEDs) Awareness of measurement accuracy, calibration, and reproducibility

Display & Interface Knowledge Interest in display driving principles and pixel addressing concepts Basic familiarity or willingness to learn automotive video interfaces such as GMSL, FPD-Link, LVDS, or HDMI General awareness of automotive communication tools (e.g., CANoe) is beneficial

Data & Programming Skills Experience with Python or other programming languages for data analysis Familiarity with data analysis libraries (e.g., NumPy, Pandas) is a plus Basic knowledge of SQL or BI tools is welcome Interest in automation, image processing, or machine learning is an advantage

Digital & AI Mindset Curiosity about AI tools and digital methods in engineering Willingness to experiment with AI-supported workflows Ability to critically reflect and validate digital or AI-generated results Soft Skills Analytical and structured working style Clear communication and teamwork skills Fluent in English Self-motivated and interested in working in international teams