Testia GmbH - R&D Engineer - Computer Vision & Optical Systems (m/f/d)

Airbus; Taufkirchen, Ottobrunn; On-site; EUR 70,000 - 95,000; Full time

Job summary

TESTIA GmbH in Ottobrunn, Germany, is seeking an Engineering/R&D specialist to explore optical sensing technologies, develop CV algorithms, and build evaluation test benches. You will work on hardware integration, data acquisition, and algorithm prototyping to advance material and surface analysis capabilities.

The role emphasizes hands-on lab work, experimental design, and collaboration with software engineers and project teams to translate concepts into scalable tools.

Qualifications

• Degree in Computer Vision, Optics/Photonics, Mechatronics, Physics, or Engineering.
• Strong hands-on lab experience with test benches and sensors.
• Experience with Python for prototyping and data analysis.

Responsibilities

• Evaluate and select optical sensors, cameras, illumination setups.
• Design and build experimental test benches.
• Develop data acquisition routines and interfaces.
• Develop CV/vision algorithms and ML approaches.
• Document methodologies and present findings.

Skills

Computer vision

Image processing

Python

Hardware interfacing

Data acquisition

Education

Bachelor's or Master's in CV/Optics/Mechatronics/Physics/EE/ME

Tools

OpenCV

Git

Jira

Confluence

Job description

Job Description: Position’s Summary

Location: Ottobrunn, Germany

Hours per week: 37,5

Contract: Unlimited

Reports to: Team Leader Research and Development

Number of openings: 1

Your Tasks

Technology Exploration & System Prototyping

• Evaluate and select optical sensors, 2D/3D cameras, structured lighting, and illumination setups for challenging materials and surface conditions.
• Design, build, and maintain experimental test benches to evaluate the physical feasibility and optical resolution limits of new concepts.
• Develop data acquisition routines and hardware-control interfaces to capture high-quality, reproducible test datasets.

Algorithm Development & Evaluation

• Design, implement, and benchmark computer vision and image processing algorithms for automated feature extraction, image enhancement, and surface analysis.
• Compare classical image processing techniques with data-driven and machine learning approaches.
• Assess algorithm sensitivity, boundary accuracy, and false alarm robustness against measured ground truth.

Experimental Testing & Rig Characterization

• Plan and conduct comprehensive laboratory test campaigns to assess environmental and physical influences (e.g., ambient light, reflection, distance, vibration, and mechanical stability).
• Identify and troubleshoot noise sources, optical distortions, and systematic measurement errors within experimental setups.
• Calibrate sensors and measurement instrumentation to ensure high data integrity.

Metrology, Repeatability & Data Quality

• Apply statistical methods and metrological principles to quantify measurement repeatability, reproducibility, and uncertainty.
• Define data quality criteria, automated validation checks, and data annotation guidelines to support iterative algorithm training and testing.
• Establish baseline acceptance thresholds and performance indicators for evolving technologies.

Documentation & Cross-Functional Collaboration

• Document experimental methodologies, trade‑off studies, test results, and algorithmic limitations in clear technical reports and white papers.
• Collaborate with software engineers, robotics specialists, and project managers to support the transition of proven concepts into scalable tools.
• Present findings, proof‑of‑concept demos, and technical recommendations to internal teams and engineering partners.

Education

Bachelor’s or Master’s degree in Computer Vision, Optics/Photonics, Mechatronics, Physics, Electrical/Mechanical Engineering, or a related field.

Core Skills

• Strong foundation in 2D/3D computer vision, image processing, or optical measurement techniques.
• Hands‑on laboratory and experimental mindset (assembling test rigs, aligning optics, configuring lighting, and handling sensors).

Programming & Analysis

• Proficiency in Python (NumPy, OpenCV, SciPy, Matplotlib, Pandas) for rapid prototyping, analysis, and automation.
• Familiarity with hardware interfacing, instrument control, or camera SDKs.
• Experience with version control and collaborative tools (Git, Jira, Confluence).

Problem Solving

• Methodical experimental approach, strong analytical capabilities, and attention to measurement accuracy.

Languages

Professional working proficiency in English (written and spoken).

Our Recruitment Process

• A Recruiter reviews your application.
• You will be contacted and/or interviewed by a Recruiter.
• An interview with the Hiring Manager will be scheduled.
• If needed, a last interview with the Hiring Team will be scheduled.
• The Hiring Team decides on the final candidate.
• Offer call from HR.
• A contract is signed.

Company

TESTIA GmbH

Contract Type: Permanent

Equal Opportunity and Diversity Statements

Airbus is committed to achieving workforce diversity and creating an inclusive working environment.

We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all.

As such, we will never ask for any type of monetary exchange in the frame of a recruitment process.

Company About Airbus

Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.

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