Tutor builds generally capable robots and puts them to work. Delivered in days not years, from $14 an hour. Backed by AI Grant and USV.
About the role
Do you like being the person who figures out why something broke, gets it running again, and then makes sure it never breaks that way again? Tutor robots work on real production lines in factories and warehouses across the country. When one stops, a customer's line stops, and someone needs to get it moving again, fast. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience debugging production software, especially software that relies on hardware (whether or not it was within robotics)
- Comfortable reading and writing Python and navigating a large codebase you didn't write
- Writes reliable, maintainable code following team conventions, handles testing, debugging, and integration of your own work
- Fluent with the Linux command line, SSH, and reading logs
- Communicates progress, blockers, and tradeoffs clearly, including to non-engineers and under time pressure
- Documents work clearly: ticket updates, commit messages, and issue write-ups someone else can act on
More about this role
We believe robots are the biggest lever we have to making the physical world a better, more affordable place. But robots are a rounding error in our society: nearly nine out of ten American factories and warehouses don’t even have a single robot, and robots have yet to make their way into our homes or places of business.
Tutor Intelligence is changing that.
Tutor is a robotics research and deployment company, building generally capable robot hardware and artificial intelligence to enable robots to go where no robots have gone before. Sonny is a semi-humanoid robot with frontier dexterity approaching the human form. Cassie does back-breaking work, moving boxes, pallets, and bulk goods for businesses from family-owned manufacturers to some of the largest brands in the world. Tutor robots are manufactured at scale and operate as a network, combining the whole fleet’s learned experience to train ever more capable robot artificial intelligence.
Founded at MIT and headquartered in Watertown, MA, our team is full stack: we design and manufacture robot hardware, train our own models, work directly with the smallest and largest end-customers, and maintain our fleet across the United...
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