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Salary
$100k – $300k per year
Location
In office (Watertown)
Seniority
Senior
Visa
H-1B filings in 12 months: 3 · for this role: 2
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on May 15, 2025. Tutor Intelligence scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Tutor Intelligence is an industrial AI and robotics software company that builds AI robotics systems and deploys them in facilities. It was spun out of the MIT Computer Science and Artificial Intelligence Laboratory in 2021 and hires computer vision, electrical, mechanical and test engineers. The company is headquartered in Watertown, Massachusetts, United States.

The Company

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.

Our Culture

We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.

The Role

Not content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts- a Tutor Intelligence.

We enable anyone to teach robots complicated vision and manipulation skills. Our robots observe, copy, adapt, and improve on what we show them. They are the students, we are the Tutors.

The robot problems we tackle range from the classical to the unsolved. We solve problems in planning, computer vision, SLAM, optimization, machine learning, and more.

If this sounds like you, read on!

Across the board we write software to make our robots more capable, faster and safer. We work mostly in Python and Linux.

What follows is a list of things we find interesting. Depending on your passions, your role might fit one or all of the following.

Robot Vision

  • Improving 2D and 3D sensing capabilities
  • Building visual representations of the world
  • Geometric perception
  • Perception of seen and unseen objects
  • Supervised learningSelf supervised learning

Robot Motion

  • Control of robot arms
  • Planning motion in the presence of obstacles
  • Optimizing grasps and other basic manipulation primitives
  • Motion planning
  • Tools such as Drake, OMPL, KLAMPT, etc
  • Multi roboti planning
  • Reinforcement learning

Robot Software

  • Proficiency programming in a Python-Linux environment
  • Comfort with programming linters (Flake8, Mypy)
  • Software support of real-time systems
  • Visualization of robot data
  • Advanced command of Python (dunder methods, lambdas, exception handling, decorators)

Robot Hardware

  • Design and control of end effectors
  • Experience integrating and programming robot arms
  • Mechanical design of mounts and stands.

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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