Controls Engineer, Robotics
Tutor Intelligence
Listing collected from Tutor Intelligence's career site. NextChapter is independent of Tutor Intelligence.
Watertown, MA · $100k–$315k a year · Posted September 24, 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 does not state pay. Across 62 open controls engineer listings that state pay, the middle half runs $94,500 to $123,500 and the median is $106,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
AI use among engineers, all other is little observed so far. Measured exposure for engineers, all other: 7% (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.
Skills this job asks for
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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
Our robots work in customer facilities with people nearby. The code that decides how an arm moves, how fast, and how it stops is what keeps those people safe. We're looking for a controls engineer to own it.
The work is controls: joint limits, speed limits, stopping distances and stopping times, contact and collision behavior, the loop that turns a motion command into torque, and the monitoring that detects when that loop misbehaves. It is also software work. The code lives in a large codebase that changes every week, and the safety-critical parts of it have to be written, organized, tested, and reviewed so they stay correct through those changes. The person we want has worked in a codebase where a mistake had physical consequences, has written and organized a lot of code there, and is comfortable with the physics underneath it.
You will build the hardware-in-the-loop test bench that runs the control code against real arms and real stop circuits, in continuous integration. You will also keep the evidence current: the measurements and tests that show the arm stops when it should, updated as the code, the arms, and the applications change.
The formal side of safety, risk assessments and the standards customers ask about, is part of the role. We will teach it.
What You'll Do
Own the safety-critical control code for our arms: Limits, stop behavior, collision response, and the monitoring around the control loop
Work on the control loop itself: Timing, stability, and failure modes, from the motion command down to the drives
Organize the code so it can be trusted: Keep the safety-critical parts small, separated, tested, and reviewable, and set the rules for how other code touches them
Build hardware-in-the-loop testing: A bench and a continuous-integration path that run the control code against real arms and real safety hardware
Keep the evidence current: Stopping-time measurements and the tests behind the safety argument, updated whenever the code or the hardware changes
Document the design: Decisions, limits, and the reasons for them, in a form other engineers follow
What We're Looking For
Real-time control experience on physical systems: Robot arms, vehicles, aircraft, or similar. You have written control code that moved hardware and handled its failures
Experience in a mission-critical codebase: You have written and organized a large amount of code where mistakes had physical consequences, and you know what that requires of structure, testing, and review
Comfortable with the physics: Dynamics, torque, inertia, stopping distances, contact. You can reason about what the arm will do
Strong systems software: C++ and Python or similar, real-time behavior on Linux, and safety-critical code kept separate from the rest
Experience with hardware-in-the-loop testing: You have built or used a rig that put real hardware in the loop with software under test
Nice to Have
Exposure to safety standards for robots or machinery, such as ISO 10218, ISO 13849, or ANSI/RIA R15.06
EtherCAT or other fieldbus experience with servo drives
Experience with safety-rated controllers or certified functional safety components
Experience in warehouses, manufacturing, or other environments where robots and people share space
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.