Senior Mechanical Engineer (Robotics)
Tutor Intelligence
Listing collected from Tutor Intelligence's career site. NextChapter is independent of Tutor Intelligence.
Watertown, MA · $135k–$225k a year · Posted October 30, 2026
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Where Watertown, MA ranks
Where Watertown, MA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for pay after cost of living in the Northeast$193k · of 26
- #1Best cities for pay after cost of living in New England$193k · of 11
- #1Best cities for pay after cost of living in Massachusetts$193k · of 9
- #2Best cities for director and executive jobs in the Northeast51% · of 70
- #2Best cities for director and executive jobs in New England51% · of 28
- #5Best cities for AI-skill jobs in New England15% · of 28
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $180,000 a year. Across 91 open senior mechanical engineer listings that state pay, the middle half runs $154,500 to $177,500 and the median is $170,000. That is 6% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
Senior Mechanical Engineer salaries by state · Check your own pay
How AI is used in this kind of work
AI use among mechanical engineers is little observed so far. Measured exposure for mechanical engineers: 8% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
About Tutor 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 States. We’re a team of researchers, engineers, technicians, operators, and sellers who love building things and solving hard problems. Our mission is grand: robots everywhere, for the common good, raising the standard of living across North America, and then the world.
The Role
We are looking for someone who can own the entirety of a robot, or potential multiple different types of robots. In this role you will guide the work of other engineers, ensuring that development runs smoothly from napkin sketch through manufacturing and support.
Some of this work will be you designing and prototyping. Some of it will be working with members of different teams and ensuring we build the right thing. Some of it will be mentoring and guiding other engineers, growing them into leaders and owners.
This is a role for someone with strength in making things. You will be expected to know how every part of the robot works, and if you couldn't make it yourself, you certainly can figure out how one would and understand the tradeoffs involved.
This is a job for someone who appreciates fast and methodical hardware iteration. You have likely spent time in places where things come to life in weeks/months before -clubs/teams, startups, labs, places where you can appreciate what a relatively small, talented team can do when motivated and excited to do so.
Why Tutor? Whether you’re designing robots, closing deals, running deployments, or creating the processes that help us scale, your work doesn’t sit on a shelf. It shows up on real production floors, making physical work safer and more affordable. Our team of 160+ is driven by curiosity and a genuine love of building. Everyone here takes real ownership, learns fast, and holds a high bar while having each other’s backs. If you love hard problems and creating things that didn’t exist before, you’ll fit right in. Benefits We take care of our team so they can do their best work. At Tutor, you’ll get: Fully employer-covered health insurance, so you’re protected without the premium. A managed 401(k) to help you plan for the future. Generous time off: unlimited PTO and all federal holidays off for full-time salaried employees, and 16+ days of accrued paid time off plus 1.5x pay on federal holidays for hourly employees. Regular in-office meals and team social events throughout the year. As Tutor grows, so will our benefits. We’re continuing to invest in ways to support our team at work and beyond. Tutor Intelligence is an equal opportunity employer and welcomes applicants from all backgrounds.