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
Tutor Intelligence is seeking a manufacturing test engineer to design, build and own the test systems that prove every robot we build works before it ships. Our next-generation robot moves into production in early 2027 and ramps to 18 robots a day. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- BS in Electrical, Mechanical, Computer or Mechatronics Engineering
- 3+ years full-time in manufacturing or production test engineering for electromechanical products
- You've designed test stations from a blank page, not just run or maintained existing ones. You can walk us through the architecture, the instruments and the fixturing
- You've set pass/fail limits and can explain how: requirements, characterization data, guard-banding and capability analysis
- Hands-on statistical process control: control charts, Cp/Cpk, and gage R&R or other measurement system analysis
- Strong Python for test automation and data analysis, LabVIEW/TestStand is a plus
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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