The NGAD Prototype is built upon some of the technology that the F-35 pioneered. The F-35 now is and has been used as an airframe to test more advanced technologies. Like distributed computing and autonomous technologies.
So, it's reasonable to say that NGAD may not be possible if it weren't for the F-35. I'd argue this is less about the F-35's shortcomings and more about the fact that we're seeing a dramatic change in air war-machine design, development, and theory.
In defense news below, you can see them speak (in meta) about how the NGAD Prototype was built. Some of those things were pioneered on the F-35.
Having also seen your comments elsewhere this thread, I'm wondering: Did you have a personal stake in the F-35?
"Failed" things nearly always embody good and great ideas that go on to be used in successful things. For example, the Newton was clearly a failure, and yet there are echos of it all over today's phones and tablets.
>*Like distributed computing and autonomous technologies.*
Can you expound on this? Why is distributed computing neeeded - is it simply such that "if hit in this location, there are backups that can handle the load?"
For autonomous, what relief does this bring to the pilot? Targeting? Nav? Trim?
Northrop Grumman Aerospace Systems - Onsite | El Segundo, CA | Full-time
We're looking for a graphics engineer to add features and improve the fidelity of our predictive renderer. The renderer is GPU accelerated spectral path tracer built on the Nvidia Optix platform. It is used to help design and simulate vehicles. You'll be developing features for the renderer and solving problems in the areas of materials to numerical optimization to volume rendering, and more.
- strong experience in C++ required
- strong experience in GLSL, CUDA, or OpenCL required
- knowledge of Python a plus
- US citizenship and the ability to obtain a US DOD secret clearance is required
If interested, please send questions and resumes for expedited review to Liang dot Yu at ngc dot com
Northrop Grumman Aerospace Systems - Onsite | El Segundo, CA | Full-time
We're looking for a graphics engineer to add features to and improve the fidelity of our predictive renderer built on the Nvidia Optix platform. The renderer is used to help design and simulate vehicles. You'll be involved in helping solve problems in the areas of materials to numerical optimization to volume rendering, and more.
US citizenship and the ability to obtain a US DOD secret clearance is required.
An update is in progress: https://github.com/isce-framework/isce3