Level

Airbus

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

Airbus is hiring a Testia GmbH - R&D Engineer - Computer Vision & Optical Systems (m/f/d) in Munich, Germany. Level rates it ; you can apply on Airbus.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions AI data labeling and computer vision among its tools and skills.
  • Airbus has 3,100+ other open roles on Level.
  • Posted in the last few days.

AI in this role

ai-data-labelingcomputer-vision

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

We are looking for a versatile and research-oriented Computer Vision & Optical Systems R&D Engineer to join our automated inspection team. In this role, you will be responsible for exploring, developing, and validating optical inspection methods and computer vision algorithms across all stages of technology maturation.


You will bridge applied physics, hardware experimentation, and software development—designing experimental test setups, evaluating sensors and illumination techniques, and benchmarking algorithms to transform early-stage concepts into robust, reliable inspection solutions.


  • 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.


What we look for

  • 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

In the majority of cases, the stages will be:

  • 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.

You can always check the status of your application on the Workday website.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

TESTIA GmbH

Contract Type:

Permanent

-------

Experience Level:

Professional

Job Family:

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
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. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

How we rate this

Testia GmbH - R&D Engineer - Computer Vision & Optical Systems (m/f/d) at Airbus rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI Data LabelingComputer vision

Questions you could be asked

  1. How do you keep labeling instructions consistent across a large annotation team?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.

Adapt your resume

  • List these exact terms on your resume: AI Data Labeling and Computer vision. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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