Software Engineering Intern (Pack STEM Internship)
**This internship is hosted by Connected Future Labs and sponsored by the Nevada Career Studio's Wolf Pack STEM Internship Program.
About Connected Future Labs:
Connected Future Labs is an agile R&D consulting company at the leading edge of technology. With a depth of expertise from circuits to machine learning and data science, Connected Future Labs develops technology to connect the dots across different domains and disciplines and create the next big thing.
Internship Description:
The software engineering intern will be part of a small team developing a wearable biometric sensor called EmotiBit. EmotiBit launched in 2021, ranking in the top 2% of all-time Kickstarter campaigns and has been growing rapidly since. Sold in over 50 countries around the globe, EmotiBit is being used at NASA, Apple, MIT, Nike, Samsung and other Fortune 500 companies, startups and education institutions worldwide.
Duties/Responsibilities:
The intern will work with Connected Future Labs to identify a project that is a good fit for the intern's interests and experience. This work could include:
- Collecting and analyzing data
- Creating a data science portal
- Exploring new applications for biometric data and other possibilities.
Example projects include examining sleep, exercise or stress patterns and developing data science algorithms and machine learning classifiers to help people live better lives.
Required Qualifications:
The intern that we'd love to talk to is a life-long learner, adept at critical thinking, who wants to dive into learning new skills and tackle challenging problems to make the world a better place.
Preferred Qualifications:
The ideal candidate would have experience in some or all of the following:
- Biomedical sensing
- DSP & bio-signal algorithms
- Python, C++, Android, Git
- Firmware development
- KiCad PCB software
- PCB fab & assembly
Desired Schedule for Intern:
We will work with the intern’s class schedule. Office hours will vary based on availability. Preferred shift lengths are ½ to full day (4 - 8 hrs) to facilitate engagement and learning.