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Posted On Jan 11

Software Developer - Kitchener

BinSentry

Location : Kitchener, ON

Hiring Mode : Full Time

Hiring Role : Developer

Experience : Mid Level

BinSentry
Kitchener, ON
Please apply on www.thingsofiot.com
Minimum qualifications:
Experience in Node.js, JavaScript, C/C++, C#, Java, Python or some equivalent languages.
Experience in web development or embedded systems development.
Useful skills to have:
Frameworks: Node.js
Languages: JavaScript, Python, C/C++
AWS: Dynamodb, OpenSearch (ElasticSearch), EKS, Lambda, AWS IoT, S3
Deep Learning: Selecting type of neural network, setting up, training
Kubernetes: Deployment, tuning, setting up
Front End: CSS, web components
UX: Material design system
Strong design sense for software architecture
Understanding of electronics and hardware
Ability to learn and do a wide variety of problem solving and R&D tasks
Background in mathematics and physics
Is BinSentry remote?
We have a hybrid remote model where some employees are entirely remote and some come in 3+ days a week.
What do we do?
  • BinSentry is an Internet of Things (IoT) startup in the AgTech (agriculture technology) industry. Our sensors help monitor inventory for feed bins by predicting future consumption using deep learning and generating optimal shipping routes using genetic algorithms. We design, manufacture, and assemble our own hardware but we focus primarily on software services. Our software leverages the power of our sensor to automate numerous aspects of a feed mill; from ordering feed to delivering it. We offer both our hardware and software as a service (HaaS and SaaS).
  • Tell me about BinSentry's Culture and benefits!
We are pleased to offer:
  • Full, company-paid group health and dental benefits plus your choice of an annual HSA or PSA
  • Competitive compensation and an equity package
  • Mentorship, guidance and a meaningful mission in which you are invited to participate
  • Brag-worthy swag
  • Awesome company events
Is working at BinSentry interesting?
Yes, it is! Primarily because there are so many difficult problems associated with monitoring feed! Predicting future feed consumption is not only difficult but also needs deep learning to do it well. We have numerous unsolved real world issues that we are trying to tackle with a combination of hardware and software. We push optical sensors like LiDAR and Time of Flight sensors to their limits to cheaply and effectively monitor flow inside the feed bins. We are also very good at what we do so that helps feel like you've accomplished something. Last, but not least, agriculture is very important to humanity and is just starting to go through rapid technological advancement.
But I don't know anything about hardware!