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Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Engineering Manager - Robotics Software

Engineering LeadershipUpdated on Nov 10
Full-timeWatertown, MA, USA$190k - $300kIn-person

About the Job

Requirements

  • You were a strong engineer before you managed, and you have run a team of several engineers.
  • You have shipped software that ran on or alongside physical systems.
  • You have owned something in production and been on the hook when it broke.
  • You can read a design and tell what will break.

Responsibilities

  • Hire and run a team of software engineers, and grow them, including the tech leads.
  • Own a part of the system end to end, from design through deployment to the fleet.
  • Set priorities and make the technical calls, or make sure the right person on your team does.
  • Work with the hardware, research, and operations teams your software touches. Robotics software fails at the seams between them.
  • Be accountable for your part of the system in production, not only in the repo.

Desired Qualifications

  • Experience with robotics, autonomy, or other systems with hardware in the loop.
  • Experience with simulation, sim-to-real, or machine learning infrastructure.
  • Experience with systems that have uptime obligations to customers.
  • Experience working alongside a research team.

About the Company

Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Tutor Intelligence provides AI-powered manufacturing and packaging robots to American factories through flexible 12-hour leasing. The robots handle tasks like conveyor loading, end-of-line packing, kitting, palletization, and depalletization, and are powered by a hybrid human-artificial intelligence engine that enables deployment in minutes rather than months. Unlike traditional robotics purchases, the company offers a scalable, cost-effective leasing model that delivers a steady revenue stream while giving clients the ability to scale automation up or down as needed. The company’s goal is to help factories boost productivity and reduce labor costs by making automation accessible without large upfront investments.

Company size
51-200
Company stage
Series B
Total funding
$113.5M
Headquarters
Watertown, MA
Founded
2021

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