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Salary
$100k – $300k per year
Location
In office (Watertown)
Seniority
Staff
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 24, 2026. First seen by Alion on Jan 5, 2026. 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

Are you tired of writing incremental code for massive CRUD web apps? Do you want to architect and build systems from the ground up that affect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write impacts the foundation of the global economy, solving the core technical challenges in robotics and automation at scale. Lever

As a Member of Technical Staff, you will lead design and implementation of critical robotics software across motion planning, real-time control, perception and optimization systems, tooling, and robot infrastructure. You will influence technical direction, mentor other engineers, drive system architecture across the stack from embedded to cloud, and champion best practices in software and robotics engineering.

Requirements

  • Exceptional programming skills with deep experience across multiple languages and systems.
  • Track record of designing and owning large, complex software systems.
  • Experience leading technical projects and mentoring engineers.
  • Comfortable working across the stack from low-level robot control to cloud services.
  • Natural collaborator, strong communicator, and excited to solve hard problems that bridge software and robotics.

Nice to haves (zero or more)

  • Proven experience with Python and prior experience programming robots (e.g. with ROS or other robotics frameworks)
  • Experience with manipulation, motion planning, optimization, or perception.
  • Experience with infra/dev tools (Docker, Kubernetes) and CI/CD.
  • Background in hardware/software integration and real-time systems.
  • Experience scaling robotics systems in production environments.

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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