Perception Engineer, Robot Safety

Posted One Month Ago
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Watertown, MA, USA
In-Office
150K-300K Annually
Entry level
Artificial Intelligence • Software
Our mission is grand: robots everywhere, for the common good, raising the standard of living.
The Role
Design, build, and own production perception and monitoring systems that keep people safe around robots. Develop lidar and camera detection, tracking, and sensor-fusion pipelines; maintain safety-critical code; test failure modes using field data, scenarios, and hardware faults; and collaborate across product teams. Contribute to robot safety strategy, risk assessments, standards, and customer evidence.
Summary Generated by Built In
About Tutor

We believe robots will be the next chapter in making physical labor safer and more affordable. But, nearly nine out of ten American factories and warehouses don’t have a single robot. Tutor Intelligence is changing that.

We build robots that go straight into real factories and warehouses, to do real work, with real impact. Our robot Cassie does back-breaking work, moving boxes, pallets, and bulk goods for family-owned manufacturers to some of the largest brands in the world. Our robot Sonny does handwork, using two arms to achieve human-like dexterity in picking and packing. Every robot learns on the job, and each one we deploy makes the next one more capable, more affordable, and faster to put to work.

Founded at MIT and headquartered in Watertown, MA, we do it all in-house: the robotics hardware, the machine learning, and the field deployment and service. 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
  • Test for weaknesses: Use replayed field data, constructed scenarios, and hardware faults to find where the system fails, and fix what you find
  • Work across product teams: Join the team building something that affects safety and build it with them
  • Help set the strategy: Contribute to how Tutor keeps its robots safe and deployable as the fleet and the applications grow, including the evidence we give customers

What We're Looking For

  • Experience shipping perception or monitoring software on robots or vehicles: Lidar or camera pipelines, detection, tracking, or sensor fusion, running on hardware in production
  • You have owned code where a bug could injure someone: You know how that changes design, testing, and review
  • Strong software engineering: Python and C++ or similar, real-time constraints, and code that other people can verify
  • Some controls knowledge: Stopping distances, latency budgets, and how a perception decision becomes a motion command
  • You fix what you find: When you find a weakness, you propose the fix and usually build it

Nice to Have

  • Exposure to safety standards for robots or machinery, such as ISO 10218, ISO 13849, or ANSI/RIA R15.06
  • Experience with safety-rated sensors or safety validation of a detector
  • Experience in warehouses, manufacturing, or other environments where robots and people share space
  • Simulation and replay tooling for testing perception at scale

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.

Skills Required

  • Experience shipping perception or monitoring software on robots or vehicles in production
  • Experience with lidar or camera pipelines, detection, tracking, or sensor fusion running on production hardware
  • Experience owning safety-critical code where defects could injure someone
  • Strong software engineering skills in Python and C++ or similar languages
  • Experience with real-time constraints and verifiable code
  • Some controls knowledge, including stopping distances, latency budgets, and motion commands
  • Ability to identify weaknesses, propose fixes, and implement them
  • Exposure to robot or machinery safety standards such as ISO 10218, ISO 13849, or ANSI/RIA R15.06
  • Experience with safety-rated sensors or safety validation of a detector
  • Experience in warehouses, manufacturing, or environments where robots and people share space
  • Experience with simulation and replay tooling for testing perception at scale
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The Company
HQ: Boston, MA
160 Employees
Year Founded: 2021

What We Do

We believe robots will be the next chapter in making physical labor safer and more affordable. But, nearly nine out of ten American factories and warehouses don’t have a single robot. Tutor Intelligence is changing that. We build robots that go straight into real factories and warehouses, to do real work, with real impact. Our robot Cassie does back-breaking work, moving boxes, pallets, and bulk goods for family-owned manufacturers to some of the largest brands in the world. Our robot Sonny does handwork, using two arms to achieve human-like dexterity in picking and packing. Every robot learns on the job, and each one we deploy makes the next one more capable, more affordable, and faster to put to work. Founded at MIT and headquartered in Watertown, MA, we do it all in-house: the robotics hardware, the machine learning, and the field deployment and service. We’re a team of researchers, engineers, technicians, operators, and sellers who love building things and solving hard problems.

Why Work With Us

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, lear

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