Perception Engineer, Robot Safety
Tutor Intelligence, Watertown, MA
- Pay
- $100K–$315K / year
- Work type
- Onsite
- Level
- Not stated
- Area
- ML / AI engineering
- Posted
- Sep 24, 2026
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About the role
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 systems that keep those people safe are perception systems: sensors that detect a person, and software that decides how the robot responds. We're looking for an engineer to build those systems and own the code they run on.
This is an engineering role. You will design and build perception and monitoring systems, own safety-critical code end to end, and be responsible for the design and review of the systems that decide whether a robot may move. You will work across our product teams, joining whichever one is building something that affects safety, and you will test our systems for weaknesses before they show up in the field.
You will also help shape how Tutor keeps its robots safe and deployable. A robot that hurts someone is unacceptable, and a robot that cannot be deployed where the work is does not help anyone. The formal side of safety, risk assessments and the standards customers ask about, is part of this role. We will teach it. We are hiring for the engineering.
What You'll Do - Build the perception systems that keep people safe: Detection, tracking, and monitoring from lidar and cameras, running on robots in production
- Own safety-critical code: The software path from a sensor reading to a stopped robot, including its tests, its failure modes, and its behavior when something upstream fails
- Design and review safety-relevant systems: Set the design for how a robot decides it is safe to move, and review changes across the codebase that affect that decision
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Listed on Tutor Intelligence's Lever job board; checked 8 h ago. First seen by us 2 days ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.