Project Wayfinder is building scalable, certifiable autonomy systems to power self-piloted aircraft applications throughout Airbus, from small urban air vehicles (aka air taxis) to large commercial airplanes. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry - our team is at the heart of this revolution.

Deep Learning Internship
Santa Clara, CA

As an intern at Wayfinder, you will work on meaningful engineering systems, not toy problems. You will contribute to scalable, robust, creative solutions alongside a small team of multidisciplinary engineers with a wealth of experience in aerospace, automotive, deep learning, and software.

Key responsibilities

  • Understand, modify, debug, and improve our neural network architectures, which are used for object detection, localization / regression, etc.
  • Tune hyperparameters and run experiments to optimize the performance of our neural network architectures
  • Develop proof-of-concept architectures based on the current state-of-the-art in deep learning research to evaluate whether new approaches might be applicable to our use cases

Background match 

  • Significant academic background in deep learning, computer science, computational neuroscience, or similar fields
  • Working proficiency in PyTorch and/or TensorFlow
  • A deep understanding of the principles of convolutional neural networks, as well as the state of the art in object detection
  • Working proficiency in C/C++ or Python on a Linux-based OS
  • Command of basic software engineering (e.g. iteration, data structures, object oriented programming) and best practices
  • Intellectual curiosity to do what hasn’t been done before, coupled with a drive to overcome challenges

Strong fit 

  • Familiarity with recurrent neural networks, LSTMs, or other deep learning architectures for various domains
  • Traditional computer vision algorithms (e.g. OpenCV)
  • Real-world experience with autonomous systems (e.g. mobile robots, cars, aircraft) and related sensors (e.g. lidar, radar, cameras, inertial measurement units)
  • Packaging and deployment of neural network models in production
  • Aviation and piloting experience
  • A passion for making things fly


  • 12-weeks competitively paid internship experience 
  • Daily lunch and snacks, social events & outings
  • 1:1 mentorship with a very top notch engineer in the field   
  • Opportunity of a lifetime to explore intellectually challenging & meaningful projects 

A³ by Airbus is the Silicon Valley R&D outpost of Airbus. The mission of Airbus is to make things fly. Our job at A³ is very simple: we seek to disrupt Airbus (and the competition) before anyone else can. And in the process, we are setting out to build the future of flight.

At A³, we execute projects and foster partnerships. Projects are ambitious, risky and time-constrained undertakings that culminate in a demonstration at convincing scale—something that’s more than a mere prototype, but somewhat short of a product.

A³ develops technology partnerships enabling us to work within the Silicon Valley ecosystem to meet project objectives while connecting our parent company to new developments and the talent here. We also strive to partner with different elements of Airbus to serve as transition targets and sponsors of projects that emerge from A³.