Wednesday, April 30, 2014

RTneuro Full-Time EE Opportunity

RTneuro is hiring an engineering intern with hopes to make a full-time offer upon graduation!

Job Description
The engineer will be in charge of any of the following tasks:
● Designing and/or improving the analog circuits that will be integrated into the RTneuro
Biosensor
Writing the firmware to interface with the analog front end
Writing the firmware to interface with a remote wireless peer device
● Writing DSP code to implement Algorithms in C
● Designing test suites (test benches) to verify own design
Writing formal documentation to communicate changes to the team
Preferred Knowledge
● Familiarity with Embedded Systems programming (C programming language)
● Familiarity with Analog Circuit Design (Opamps and Transistor Level)
● Familiarity with Software Development (Java)
● Motivated to learn fast.
Additional Immediate Internship Opportunity
● Upto 20 hours a week from May 1 May 31st

"We have an exciting, early-stage opportunity for a senior Electrical Engineering student to join our team immediately (May 1st). Upon graduation, we expect to offer you a full-time role with us, pending your experience from May 1st-graduation, which will be paid and part-time, to allow you to finish your academics. 

RTneuro was conceived in 2013 with the goal of making it fun to achieve wellness by leveraging certain emerging technologies. The combination of ubiquitous connectivity, low cost manufacturing, abundant cloud computing and storage makes it possible for us to unleash a torrent of bio-signals, that  are then transformed to actionable inputs to the consumer

RTneuro is is building a reference design for an low cost bio-sensor, “Rainbow,” that includes a heart-rate and blood oxygen level detector, accelerometer, skin temperature sensor and a galvanic skin response sensor. When combined these signals will provide unique insights into the wearers wellness and activities.

To study these signals we are building “Indra,” which is a Data Analytics engine that combines signal processing and machine learning techniques on the sensor data from multiple consumers to draw inferences and learn about the individual consumer. 

RTneuro will also deliver an SDK to enable the best talent on the planet to build compelling Mobile applications through which consumers can be provided a fun and interesting experience whilst guiding and directing them to learn and undertake activities that increase wellness in mind and body. RTneuro will develop and release 3 compelling applications as reference apps.
__

We look forward to working with many other innovative people and companies in the journey to improving people’s lives."

Contact: 

Alexander Day
Program Manager • RTneuro 
p 508.274.9105 • Seattle

'Follow Us@RTneuro