Nintendo Job Opening For Machine Learning Implies Switch 2 Will Use DLSS

gameranx.com:

Nintendo has a new job opening that seems to all but confirm rumors that have been swirling about the rumored Switch 2.

As shared by Youtuber Switchforce, Nintendo of America has a new job opening at their main base at Redmond, Washington.

The job is for a machine learning data engineer. Machine learning is a specific type of AI, based on computer systems that know how to learn from data. This kind of AI has very specific applications, and clearly Nintendo didn’t need to have such an expert until now. And the reason they need it? DLSS.

This goes all the way back to last week’s rumors that Nintendo demonstrated their Switch 2 hardware at Gamescom.  The demos that Nintendo showed off were very impressive, and a lot of that was credited to the use of DLSS.

But, what you may not know, is that DLSS is an acronym, short for deep learning super sampling. Yes, DLSS is actually machine learning. And the way Nvidia has designed the technology is technically impressive, because it scales to accommodate both weak and powerful PC builds, as long as the end user has a DLSS compatible Nvidia GPU connected.

The description and details in the job listing also help shed light on what Nintendo is looking for. Here is what Nintendo says they need on the listing:

“We at Nintendo are looking for a Data Engineer to help with integration of machine learning technologies on low-power embedded platforms. You will be working at the intersection of machine learning inference engines and embedded systems, facing challenges that stem from processing and memory constraints and a power budget.

Tasks include, but are not limited to, porting of machine learning frameworks to embedded platforms, evaluation and benchmarking of machine learning hardware