Recruiting isn’t easy. It can be a long and tedious process, especially for startups when you’re building the infrastructure to support rapid growth.
I used to think that recruiters and hiring managers were cold and rude.
I spent a good part of my life in school, much of it studying engineering. From a bachelor’s degree in mechanical and biomedical engineering to a Ph.D. in collaborative robotics and machine learning, it was quite an adventure.
People say that you can’t do agile hardware development. I don’t believe that.
While I’m not a fan of all the hype and buzz around “Agile,” I do believe in the core principles.
Data analysis of sensor data is a typical hardware engineering activity that often involves an Excel-based workflow. While Excel (and other spreadsheet tools) are great for quick and dirty, one-off analyses, a Python + pandas workflow can really takes things to the next level.
Another year, another cohort. FounderFuel 2020 turned out to be an exciting mentorship opportunity.
Once upon a time, at McGill University in Mechanical Engineering, I took a course called COMP 208 Computer Programming for Physical Sciences and Engineering. The goal was to give us future hardware engineers a foundation in programming, to allow us to automate, perform advanced calculations, and solve our engineering problems through code.