Mechanical Engineer (Robotics) at Tutor Intelligence
Tutor Intelligence is hiring a Mechanical Engineer (Robotics) in Watertown, MA, US. On-site. Pay: USD 100k-225k/yr.
About Tutor Intelligence
Tutor Intelligence is an AI robotics company founded out of MIT CSAIL. It builds and deploys AI-powered robot workers for industrial settings such as manufacturing and logistics. The robots are designed to automate tasks from complex assembly to end-of-line logistics and can be deployed in days. The company partners with industry to bring humanlike intuition and flexibility to production floors while reducing the complexity, cost, and operational burden of traditional industrial automation. Tutor has already deployed its robot workforce in dozens of factories and warehouses across the country.
Mechanical Engineer (Robotics) job description
About Tutor
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
What this role is
About Our Roles & Titles
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
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