Luminostics is a Y Combinator-backed startup building a smartphone adaptor for at-home disease testing and health monitoring using nanotechnology that interfaces with the phone's built-in optics. Check out our YC pitch (https://youtu.be/eujghbT6CfA) and product/technology summary (https://docsend.com/view/4seca9g) to figure out if what we're working on excites you.
We're looking for a software engineer to develop algorithms for image processing/analysis and implement them in our native iOS app. This will begin as a part-time contractor position to assess fit. If things go well, you’ll be our first full-time software hire and take complete ownership of the app component of our product; this will give you significant autonomy and a tremendous opportunity for growth.
Please apply with a resume and a short summary of your relevant background (email@example.com) if you think you meet the following qualifications:
- Experience developing and implementing novel algorithms for digital image processing (or other kinds of digital signal processing) using Matlab/Python/C++
- Experience developing and shipping at least one iOS app
- Familiarity with optical design and imaging technologies
Luminostics has built a smartphone adaptor for at-home disease testing and health monitoring. Our product platform enables the 15-minute detection and/or quantitation of targets such as bacteria, viruses, hormones and proteins from a variety of liquid samples. A user will simply (i) add a small liquid sample to a single-use cartridge, (ii) load the cartridge into a phone case-like reusable smartphone adaptor, and (iii) press a button on an app to obtain a result in a few minutes. Luminostics' technology is based on light-emitting nanoparticles that can be super-sensitively detected using a smartphone camera after excitation with the phone's flash.