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Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Field Reliability Engineer

Mechanical Maintenance and Reliability EngineeringUpdated on Nov 10
Full-timeWatertown, MA, USA$90k - $150k

About the Job

Requirements

  • One to seven years of experience in field engineering, controls, automation, test or hardware engineering, or senior field service on robotic or industrial automation systems.
  • A demonstrated record of resolving complex failures, with clear documentation of the root cause, the fix, and the measured result.
  • Structured troubleshooting across electrical, mechanical, networking, and software systems.
  • Ability to read schematics, wiring diagrams, and mechanical drawings.
  • Working knowledge of Linux, the command line, and system logs.
  • Experience using scripting or AI tools to analyze data, run checks, and prepare reports.
  • Experience leading root-cause investigations with engineering teams and driving corrective actions to completion.
  • Experience training technicians and writing clear procedures.
  • Ability to work in warehouse and manufacturing environments.
  • Ability to travel 50 to 75% of the time, sometimes on short notice.

Responsibilities

  • Own difficult technical problem investigations across the robot fleet from the first report through a verified fix.
  • Review logs, telemetry, and parts history; test theories on robots using tools such as multimeters and oscilloscopes; conduct root-cause analysis; and develop action plans with the engineering owner to diagnose and resolve customer issues.
  • Propose fixes and agree on them with the engineering owner, set root-cause priority among open escalations, and follow fixes through Engineering and Manufacturing to ensure they are applied to deployed robots and incorporated into robots not yet shipped.
  • Participate in design reviews for fixes driven by the role and verify results against fleet data, closing failure modes only after repeat failures stop.
  • Lead the first installation of each new robot model, design, or application; run major upgrade campaigns; and handle major customer escalations on a shared national rotation.
  • Write a procedure for each completed job and train a regional technician to perform the work.

Desired Qualifications

  • A degree in mechanical, electrical, mechatronics, or a related engineering field.
  • Experience with robot arms, vision systems, lidar, or mobile robots.
  • Experience with failure analysis or reliability methods such as FMEA, Weibull analysis, or teardown analysis.
  • Experience commissioning or installing new automated systems.
  • Background in fulfillment, logistics, manufacturing, or food and beverage operations.

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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