Job Description:

The new Airbus UpNext demonstrator will pave the way to more autonomous flight capacity by integration of new innovative bricks including computer vision.

This position comes with a CDI-C contract for one year and a half, the timeline of the demonstrator.

Main missions:

Your mission will be to develop innovative computer vision algorithms in the range of deep learning algorithms. The work consists in designing and implementing neural network architectures tailored for multi-sensor  data processing, developing models for object detection, segmentation, and classification specific to our environment, implementing attention mechanisms and transformers to improve the understanding of spatial and temporal relationships in sensor data. You will also have access to state-of-the art simulation tools to generate synthetic data, enabling accelerated development and testing of advanced models. 

We are looking for engineers with competencies in one or more of the following areas with the willingness to learn more.

• Leverage a cutting-edge simulator to generate high-quality synthetic datasets for radar, LiDAR, and camera sensors.

• Create scenarios that replicate real-world challenges, including adverse weather, varied lighting conditions, and dynamic objects on the taxiway.

• Utilize synthetic data for model pre-training and domain adaptation techniques to bridge the gap between simulated and real-world data.

• Develop advanced algorithms to enhance radar data interpretation, focusing on noise reduction, object detection, and trajectory prediction.

• Create frameworks for integrating radar data with other sensor modalities to achieve robust and accurate sensor fusion.

• Preprocess and annotate datasets for deep learning pipelines.

• Train and fine-tune models using state-of-the-art architectures and loss functions tailored to multi-modal data.

• Optimize models for deployment on embedded systems, focusing on computational efficiency and real-time performance.

• Stay updated on advancements in deep learning, including domain adaptation, synthetic-to-real transfer learning, and generative modeling techniques.

• Explore novel methods to simulate radar and LiDAR data in high-fidelity environments.

Boarding Pass

What you bring

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (Ph.D. preferred).

• Extensive experience in deep learning with frameworks such as TensorFlow or PyTorch.

• Proficiency in building and training convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.

• Strong understanding of radar, lidar signal processing and its integration into deep learning workflows.

• Experience with synthetic data generation and its application to training robust AI models.

• Hands-on experience with multi-modal sensor fusion techniques.

• Proficiency in Python and/or C&43;&43;.

• Familiarity with ROS2 for robotics and autonomy applications.

• Experience in 3D computer vision and processing point cloud data.

• Familiarity with GANs and generative models for synthetic data augmentation.

• Knowledge of reinforcement learning and planning/control algorithms.

• Background in aviation or autonomous vehicle development.

​What you get

• An environment that not only fosters your development in many ways, but also rewards it with plenty of room to grow

• A shared open space office with highly skilled multicultural teams

• Ability to craft your calendar with flexible hours/Opportunity to work remotely

• UpNext communities bonding events

• A high-achieving, experienced and fun team

You are passionate about computer vision and deep learning, motivated by the challenge and ready to constantly learn and to develop yourself and the others, this project could be yours too.

 

About us: 

Founded in 2017, Airbus UpNext is actively shaping the future of aerospace by using demonstrators to evaluate, mature and validate new products and services.

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.

Our purpose is:

• To identify the trends that could disrupt the future of the aerospace industry and evaluate them to demonstrate their potential as a viable product.

• To accelerate traditional research cycles and prototype development to achieve proof of concept in a real environment and at a convincing scale and speed.

• To develop real-world applications for emerging aerospace technologies, thereby driving their maturity and increasing their value.

• To be THE reference for Technology Value Assessment

Our Values: Keep it Simple Be Audacious Exploring Together

Our DNA: Speed of Execution, Caring for Each Other, Open to the World

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.

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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&64;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.