Data/Software Engineer Co-op

The Company

Smart Nora is a wellness tech company based in Toronto that has improved sleep and relationships for tens of thousands of couples around the world. Our debut product is the world's most comfortable snoring solution and has been listed on Oprah’s Favorite Things, as well as Good Morning America, TIME, TODAY and BBC to name a few.

The Team

We are an ambitious, tight-knit team with an open work environment and a self-directed approach. We typically work out of our office at King+Spadina or remotely in a weekly cadence of Monday kick-offs, Wednesday tea times, and Friday wrap-ups — taking a lot of pride in our individual work and holding one another accountable for producing great work.

Note: Currently we are all working from home throughout the COVID-19 pandemic.

The Product

Smart Nora is an over-the-counter, contact-free snoring solution relevant to the 40% of adults who snore. Smart Nora is loved by customers for its comfortable contact-free design that enables users to sleep without any attachments to their face or body.

The Role

We are looking for a Software / Data Engineer. This is a co-op placement, full-time from September - December ideally for a 4th-5th year student. We are flexible with an earlier starting date or longer term.



What you would do

  • Support the current FW project conducted with our third party project partners by implementing structured testing and documentation
  • Build supporting tools in Python, Node, or other scripting languages to validate firmware and hardware
  • Actively participate in Mobile App development project with our third party project partners
  • Support acoustic performance optimization including microphone and codec gain settings, assisted by automated tests
  • Be part of the Product team developing the next generation Smart Nora device
  • Wrangle data and decipher meaning from quantitative tests and analytics
  • Write clear documentation

Our requirements

  • Comprehensive understanding of Software Development processes (SDLC)
  • Comprehensive understanding of Object Oriented Programming (OOP) principles
  • Experience with Pandas, R, Tableau, or other data processing/visualization tools
  • Experience with GitHub (send us your profile!)
  • Exposure to cloud (AWS) and APIs is a plus
  • Experience in audio processing is a plus
  • Experience in machine learning is a plus
  • Majoring in Software Engineering, Computer Science, Industrial & Systems Engineering, or related field.

How to Apply

Please apply using our online application form to include your resume and links to your LinkedIn, GitHub (if have), and Kaggle (if have) profiles.

Accommodations are available on request for candidates throughout the application process. Please let us know your needs so that we may accommodate. Email if you would like to discuss this role before applying.