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
You own how engineering changes get from an approved design onto the factory floor: a clean cut-in, updated procedures, trained technicians, the right parts on the shelf, and robots that build right the first time after the change. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- BS in Mechanical, Manufacturing, Industrial, Mechatronics, Electrical or a related engineering discipline
- 3+ years as a manufacturing, production or process engineer building electromechanical hardware (robotics, automation, automotive, aerospace, medical devices or similar)
- Hands-on experience implementing engineering changes on a production line: ECOs/ECNs, effectivity, BOM changes, cut-ins and material disposition
- A track record of writing work instructions that technicians actually use, and training them on the floor
- Comfortable in CAD (Onshape, SolidWorks or similar) and reading drawings, GD&T, schematics and wiring diagrams
- Experience working in an MES, ERP or PLM system (ION, Arena, SAP, Oracle or similar)
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. Our robots range from a semi-humanoid with frontier dexterity approaching the human form to workhorses that do 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...
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