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Wayfinder

Project Wayfinder is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. 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, and our team is at the heart of this revolution.

The Opportunity

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.

Intern Responsibilities

• 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

Requirements

• 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