Uncubed
           

Deep Learning Engineer

A³ by Airbus Group, Sunnyvale, CA

The Future of Flight


Wayfinder

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.

The Opportunity 

As a Deep Learning Engineer, you will report directly to the Director of Engineering of Wayfinder. You will be responsible for the development of vision-based deep learning algorithms that enable autonomous aircraft to analyze, understand, and interact with their environment safely. These perception algorithms are critical to enabling our aircraft to fly without pilots.

Responsibilities

  • Designing, training, and tuning state-of-the-art vision-based deep learning algorithms to perceive the environment around autonomous aircraft on the ground and in the air;
  • Driving the efficient implementation of these algorithms for deployment to onboard computer systems;
  • Supporting the data flows that enable the development and testing of deep learning algorithms;
  • Communicating methods and results effectively to the rest of our team.

Requirements

  • We expect you to have a master’s degree in computer science, robotics, electrical engineering, applied mathematics, computational neuroscience, or a related field and at least two years of professional experience related to computer vision applications. We also expect you will have:
  • Strong knowledge of neural network architectures and computer vision algorithms for scene understanding including object detection, classification, segmentation, depth and motion estimation;
  • Experience developing novel deep learning models with TensorFlow, PyTorch, Caffe, or another common framework;
  • Expertise in Python, Java, or C++;
  • Demonstrated ability to maintain currency with the latest developments in your field;
  • Personal drive and intellectual curiosity to do what hasn’t been done before, coupled with an appreciation for overcoming challenges.

Strongly preferred qualifications

  • Real-world experience with mobile autonomous systems such as robots, cars, and UAVs;
  • Familiarity with sensors including cameras, radar, and lidar;
  • Expertise in developing for GPU computation;
  • Experience optimizing trained deep learning models for deployment;
  • Software development experience in a production environment.

Benefits

  • Daily lunch and snacks, happy hours; social outings
  • Exceptional PPO medical, dental and vision benefits 100% covered for employee and their family/dependents
  • Generous PTO of 5 weeks (25 days) in addition to 10 national holidays
  • Tuition reimbursement for professional development or $15,750 for flight training
  • 3 months paid parental leave from Day 1
  • Employee discounts through Airbus Tickets @Work, gym subsidy and more

About A³ by Airbus Group

Mission Imagine a world without boundaries, free of constraints. It’s a place to innovate, to discover, to create, to explore. Enter this world with your eyes wide open, with your ideas intact as you journey into the unknown. Dare to redefine the future. We are the Silicon Valley outpost of Airbus, a global leader in aviation and aerospace innovation. We believe that the future is created through episodic disruption with intervening periods of incremental innovation. Our mission is to build the future of flight now. We solve big problems by employing world-class experts and by developing fertile partnerships. Our projects are built on rigorous analysis, novel insights, and commitment to unreasonable goals. Exploration is unsettling, and only when we disrupt Airbus, its competitors, and the entire industry will we consider our goals achieved and our mission a success. Join us on our bold voyage.

Want to learn more about A³ by Airbus Group? Visit A³ by Airbus Group's website.