[Hiring] Computer Vision & Video Analytics Engineer @Airbus

Role Description

Join us to be part of the new Airbus UpNext strategic demonstrator paving the future of Aircraft Connectivity. This demonstrator will accelerate the development of new technologies to bring tangible learnings to the business. Designed as a talent incubator, Airbus UpNext is a place where you can act and think like a startup while building on the strong expertise of Airbus, a place where you are empowered to challenge and test new processes and ways of working. This position comes with a limited contract (CDI-C) linked to the deliverable of the demo (estimated end date - end of February 2028), starting ASAP.

As the Computer Vision & Video Analytics Engineer, you will be working with the senior AI engineer to develop vision-based solutions on our different test/integration benches. There are several industrial benches to be managed in this scope: ground / air / road benches, it is key to ensure the consistency between them. This position is based in Toulouse, and we will collaborate with teams across Europe and an international partnership landscape.

Your main tasks and responsibilities will include:

• Build and maintain annotated datasets: frame extraction, labelling, quality checks and train/validation splits.
• Train, fine-tune and evaluate models, and report results with clear metrics.
• Implement and test new algorithms from the research literature in the existing Python codebase.
• Write unit and regression tests and keep the documentation up to date.
• Help to integrate the pipeline on the target hardware: running and benchmarking models, and diagnosing issues in video input and camera setup.
• Help evaluate new sensors by recording data, checking quality and writing integration prototypes.

Qualifications

• Master's degree, engineering degree or equivalent in computer vision, machine learning, robotics or a related field (or a comparable portfolio).
• Good Python and some experience with PyTorch and OpenCV.
• Knowledge of the basics of computer vision: object detection, tracking, camera geometry, evaluation metrics.
• Comfortable with Git and the Linux command line.
• Curious, rigorous and able to document your work clearly.
• Passion about technology, science.
• Autonomy, Adaptability, Availability, Accountability.
• Eagerness in working in an international, diverse and geographically located team.
• Values of transparency, courage, humility, empathy.
• English at negotiation level is mandatory.
• Willingness to have fun.

Benefits

• Pivotal Role in a Strategic Mission: play a key part in a project and participate in the Aviation Connectivity revolution.
• Build Something that Last: Your work will create a high-value asset and learning contribution for Airbus’s future.
• Develop Critical Competences: Acquire and develop a sound background in connectivity technologies, a field essential for the future of aerospace. This experience can provide a unique career development opportunity within Airbus.
• Agile and Empowering Environment: Thrive in a work culture that empowers you to act and think like a start-up while being supported by the strong expertise of Airbus. We value an eagerness to take initiative and propose efficient ways of working.
• A Great Team and Culture: Be part of a high-achieving, experienced and fun team in a shared open-space office with highly skilled colleagues. We are guided by the “Care for Each Other” value.
• Flexibility & Fun: Enjoy the ability to craft your calendar with flexible hours and the opportunity to work remotely, alongside regular UpNext community bonding events. And yes, we have complimentary freshly ground coffee and beverages.

Company Description

Founded in 2017, Airbus UpNext is actively shaping the future of aerospace by using demonstrators to evaluate, mature and validate new products and services. Our purpose is to pioneer game-changing technologies with Airbus.

In this role, you will embody the core Airbus UpNext values:

• Care for Each Other: Ensuring a supportive and inclusive environment.
• Be Simple: Finding the most efficient path to success.
• Be Audacious: Challenging the status quo to make the unthinkable real.
• Be Open: Collaborative solution-finding across diverse teams.
• Speed of Execution: Moving at the speed of a startup.