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Airbus

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

Location:  München, Germany
Location flexibility:  1 office day / week, 2 office days / week, 3 office days / week, 4 office days / week
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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

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.
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Working at Airbus

Hybrid

Fully flexible hours

Company benefits

Accrued annual leave
Adoption leave
Annual bonus
Bike parking
Coaching
Complimentary Medical Services
Cycle to work scheme
Employee discounts
Enhanced maternity leave
Enhanced paternity leave
Enhanced sick pay
Family health insurance
Health insurance
In house training
Language lessons
Mentoring
On-site gym
Open to compressed hours
Open to job sharing
Open to part time work for some roles
Open to part-time employees
Referral bonus
Sabbaticals
Teambuilding days
Mental health support
Mental health platform access
Mental health first aiders
On-site catering
Modern office
L&D budget
Lunch and learns
Hackathons
Share options
Electric Car Salary Sacrifice
401K
Enhanced pension match/contribution
Faith rooms

Awards & Accreditations

1st - Best Work-Life Balance

1st - Best Work-Life Balance

Flexa awards 2026
2nd – Most loved - Large companies

2nd – Most loved - Large companies

Flexa awards 2026
Most Mission Driven Company

Top 5 - Most Mission Driven Company

Flexa awards 2026
1st - Best Work-Life Balance

1st - Best Work-Life Balance

Flexa awards 2025
3rd - Best Career Progression

3rd - Best Career Progression

Flexa awards 2025
Most Inclusive Company

Top 5 - Most Inclusive Company

Flexa awards 2025
Most Flexible Company

Top 10 - Most Flexible Company

Flexa awards 2025
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  • 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
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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.

Company employees:

165000

Gender diversity (m:f):

70:30

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