Software Engineer - Computer Vision & Data Pipelines (d/f/m)

Job Description:

A vacancy for a Software Development position has arisen within KID-Systeme in Buxtehude at the earliest possible start date.

For over 25 years, KID-Systeme has been a leading supplier of advanced cabin solutions to the world's largest aircraft manufacturers, including Airbus, Boeing, and Embraer. As a member of the Airbus family, we combine the stability and support of a global technology leader with the entrepreneurial autonomy, flat hierarchies, and start-up feel of a smaller company.

In Buxtehude, we work on cabin systems that create unique flight experiences. We are looking for a skilled engineer to help us build our next-generation intelligent cabin by leveraging computer vision and advanced data pipelines. Your unique challenge will be to bridge the gap between cutting-edge machine learning and the rigorous, certified world of onboard aviation software. Your work will be at the core of how we gather, process, and utilize data to create smarter, more efficient, and responsive cabin environments.

You will join an international, tight-knit community motivated by new technologies where your expertise will directly shape the future of our data-driven products. We rely on the curiosity and flexibility of our team members to innovate and redefine the flight experience of tomorrow.

Your benefits

• Attractive salary and special payments

• 30 days paid vacation and extra days-off for special occasions

• Excellent upskilling opportunities and great international, group wide development prospects

• Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, transportation subsidy, discounts at local businesses

• On-site-facilities: medical officer for check-ups and other health-related services

• Personal work environment with local employee networks within a global corporation

• Compatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout)

• Working in a diverse environment, with more than 140 nationalities, where every voice is heard

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Your Mission and responsibilties

As a Software Engineer for Computer Vision & Data Pipelines, you will be responsible for the end-to-end design, development, and maintenance of the software that powers our intelligent cabin solutions. This includes both the onboard software capturing and processing data in real-time, and the ground-based systems for analysis, model training, and fleet-wide insights.

Your Main Responsibilities

• Design and develop the complete, end-to-end data pipeline, from onboard sensor data acquisition to ground-based processing and storage.

• Develop, integrate, and optimize computer vision algorithms for real-time execution on embedded onboard hardware, adhering to strict performance, memory, and real-time constraints.

• Drive the full software development lifecycle for onboard components according to aviation standards (e.g., DO-178C), including requirements definition, design, coding, and rigorous verification activities.

• Develop and execute systematic verification and validation strategies for the airborne software, including unit, integration, and hardware-in-the-loop testing.

• Produce the necessary software lifecycle data and documentation (e.g., Software Requirements, Design Documents, Test Procedures and Results) required for aviation certification.

• Build and maintain robust software for our ground infrastructure to ingest, process, and analyze large volumes of data from the aircraft fleet.

• Collaborate with systems engineers and data scientists to manage the MLOps lifecycle, including data validation, training pipelines, and the safe deployment of updated models.

• Perform strict configuration management and release of all software artifacts for both onboard and ground environments.

You will be part of an agile development team and collaborate on a daily basis with colleagues at other Airbus sites, which may require occasional travel.

Desired skills and qualifications

• A university degree in Computer Science, Software Engineering, Data Science, or a comparable field.

• At least 3 years of professional experience in software development with strong proficiency in Python and/or C++.

• Demonstrable experience in Computer Vision, including hands-on work with libraries like OpenCV, YOLO, etc and ML frameworks such as PyTorch or TensorFlow.

• Proven experience in designing and building data pipelines to handle significant volumes of data. Familiarity with data streaming and orchestration tools (e.g., Kafka, Airflow) is a strong plus.

• Experience with software development for embedded Linux environments (e.g., Debian, Yocto) and an understanding of resource-constrained systems.

• Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes) for building scalable ground systems.

• You are proficient with Agile and DevOps development practices and tools (e.g., Jira, GitLab/GitHub, Jenkins).

• Ideally, you have a good understanding of the avionics software lifecycle (e.g., DO-178) or MLOps principles.

• You have excellent communication skills in English and a collaborative, problem-solving mindset.

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:

Kid-Systeme GmbH

Contract Type:

Permanent

Experience Level:

Professional

Job Family:

Software Engineering <JF-EN-EK>

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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.