Simulation Engineer Internship (2021)
Founded in 2015, Acubed is the Silicon Valley innovation center of Airbus. As a global leader in aerospace, Airbus aims to make things fly. Our mission is to provide a lens into the future for the industry, transforming risk into opportunity to build the future of flight now.
At Acubed, we strive to propel innovation to market faster, broaden the talent pool in emerging aerospace careers and simultaneously help drive a culture change across Airbus.
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
Join us in shaping the future of autonomous flying! Simulation is a core component to the development and testing of our autonomy technology. The simulation team is building dynamic, photorealistic, simulated flying environments to train and validate our neural networks. During the internship you will have a hands-on role writing the software and building the pipelines to render those photorealistic worlds.
- Develop tools for automated generation of photorealistic synthetic image data, as well as automated annotation of simulation imagery
- Work with other engineers to integrate simulation tools in software-in-the-loop and hardware-in-the-loop pipelines
- Support machine learning engineers with their data generation needs
- Significant academic background in computer science, electrical engineering, or a related field
- A high level of proficiency in C/C++ and Python
- Knowledge of computer graphics (e.g., OpenGL, Vulkan, shaders, rendering, raytracing, camera modeling)
- Command of software engineering (data structures, performance, multi-threading programming, memory management)
- Familiarity with mathematical concepts relevant to simulation (e.g., time discretization methods, coordinate transforms, Euler angles, quaternions, moving reference frames)
- Intellectual curiosity to do what hasn’t been done before, coupled with a drive to overcome challenges
Nice-to-have experience you might bring:
- Game engines knowledge (e.g., Unity, Unreal)
- Continuous integration frameworks
- Real-world experience with autonomous systems (e.g. mobile robots, cars, aircraft) and related sensors (e.g. lidar, radar, cameras, inertial measurement units)
- A passion for making things fly