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Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Senior Research Engineer - Robotics

Robotics & Autonomous SystemsUpdated on Nov 10
Full-timeWatertown, MA, USANo salary listedIn-person

About the Job

Requirements

  • Strong Python skills and the ability to write maintainable, tested code that runs on real hardware.
  • Hands-on experience running learned policies or other autonomy on physical robots.
  • Experience designing experiments and judging whether a result is real.
  • Comfort debugging across Linux, networking, sensors, and robot control.

Responsibilities

  • Build and run policy experiments on DF1, from task setup and data collection through rollouts and analysis.
  • Own evaluation, including task suites, success metrics, and tooling that make results comparable across robots, operators, and model versions.
  • Build the robot-side software that runs policies, including inference, control interfaces, safety limits, and logging.
  • Improve the intervention loop so teleoperators can step in when a policy fails and the resulting data flows back into training.
  • Debug failures that cross perception, control, hardware, and model behavior.
  • Work with research scientists on what to try next, and with applied engineers on what is ready to deploy.

Desired Qualifications

  • Experience with robot arms and manipulation, ROS, or a similar framework.
  • Experience with PyTorch and GPU inference.
  • Experience with teleoperation or VR systems.
  • Experience with C++.

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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