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