Job Title

Specialist Optical Measurements, Data & Display EngineeringThis 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 YearsOptical Metrology & MeasurementsPrepare and maintain optical measurement setups for displays and input devicesPerform photometric and colorimetric measurements (e.g. luminance, uniformity, color, contrast, mura)Analyze optical measurement results and support root cause investigationsDocument measurement setups, parameters, and resultsCreate measurement reports and present results to international project teamsSupport calibration and continuous improvement of optical equipment and processesData Management, Automation & AnalysisSupport quality, availability, and traceability of optical, production, and test dataContribute to data validation and monitoring conceptsAssist in developing data pipelines for measurement and production dataSupport automation of data processing, KPI calculation, and reportingHelp extract meaningful insights from datasets and relate them to technical questionsContribute to dashboards and data visualization tools (e.g. Power BI, Python-based tools)Display Electronics & Interface UnderstandingSupport optical validation activities while considering display driving conditionsDevelop understanding of display timing parameters and signal interfacesGain familiarity with automotive video interfaces (e.g., GMSL2/3, FPD-Link III/IV, LVDS, HDMI)Collaborate with system and hardware engineers on display-related topicsSupport debugging activities by correlating optical behavior with system conditionsDigital & AI-Supported EngineeringExplore the use of AI-based tools to increase efficiency in measurement evaluation and data analysisSupport development of automated workflows for anomaly detection and reportingUse modern digital tools to simplify documentation and data handling tasksContribute ideas on how digital methods can improve validation processesQUALIFICATIONSEducation & ExperienceUniversity degree in Optics, Physics, Electrical Engineering, Automation, Computer Science, Informatics, or a comparable fieldInitial experience in optical measurements, laboratory environments, or testing is welcomeExperience in data analysis or automation is an advantageOptical & Technical SkillsUnderstanding of photometric and colorimetric measurement methodsInterest in display technologies (LCD, OLED, MicroLED, optical films, LEDs)Awareness of measurement accuracy, calibration, and reproducibilityDisplay & Interface KnowledgeInterest in display driving principles and pixel addressing conceptsBasic familiarity or willingness to learn automotive video interfaces such as GMSL, FPD-Link, LVDS, or HDMIGeneral awareness of automotive communication tools (e.g., CANoe) is beneficialData & Programming SkillsExperience with Python or other programming languages for data analysisFamiliarity with data analysis libraries (e.g., NumPy, Pandas) is a plusBasic knowledge of SQL or BI tools is welcomeInterest in automation, image processing, or machine learning is an advantageDigital & AI MindsetCuriosity about AI tools and digital methods in engineeringWillingness to experiment with AI-supported workflowsAbility to critically reflect and validate digital or AI-generated resultsSoft SkillsAnalytical and structured working styleClear communication and teamwork skillsFluent in EnglishSelf-motivated and interested in working in international teams