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Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Production Engineer - Manufacturing Process, ECO Implementation

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeWatertown, MA, USA$100k - $150k /yrIn-person

About the Job

Requirements

  • A Bachelor of Science degree in Mechanical, Manufacturing, Industrial, Mechatronics, Electrical, or a related engineering discipline.
  • At least 3 years of experience as a manufacturing, production, or process engineer building electromechanical hardware in robotics, automation, automotive, aerospace, medical devices, or a similar field.
  • Hands-on experience implementing engineering changes on a production line, including engineering change orders or notices, effectivity, bill-of-material changes, cut-ins, and material disposition.
  • Experience writing work instructions that technicians use and training technicians on the production floor.
  • Comfort with computer-aided design tools such as Onshape, SolidWorks, or similar, and with reading drawings, geometric dimensioning and tolerancing, schematics, and wiring diagrams.
  • Experience working in a manufacturing execution, enterprise resource planning, or product lifecycle management system such as ION, Arena, SAP, Oracle, or similar.
  • Ability to work effectively where systems are still being built and contribute to building them.

Responsibilities

  • Take approved engineering change orders from Hardware Engineering through completion, including effectivity and cut-in planning, manufacturing bill-of-material updates in ION, redlines, and verification on the first builds after cut-in.
  • Represent Manufacturing at the Change Review Board; assess each change for build impact, cost, inventory, scrap, and schedule before approval, and push back when it is not ready.
  • Plan cut-ins with Supply Chain and Materials; decide what to buy or stop buying and disposition existing inventory through use as is, rework, return, or scrap.
  • Write and maintain clear, visual work instructions and error-proof processes so the correct method is easy to follow.
  • Train production-floor technicians on each change before it reaches the line and confirm the change is being built correctly.
  • Partner with Field Service to plan and document retrofits for robots already deployed at customer sites.
  • Own production-line process performance, including first-pass yield, cycle time, scrap, and rework, and improve it using data.
  • Give Hardware Engineering early, specific design-for-manufacturing feedback so designs are ready to build.
  • Help shape in-house engineering change order and product lifecycle management tooling connecting Onshape, ION, and the factory floor.
  • Use artificial intelligence tools to write procedures, analyze data, and accelerate work.

Desired Qualifications

  • Experience scaling a new product from prototype to production rate.
  • Knowledge of Lean and Six Sigma tools, including process failure mode and effects analysis, control plans, poka-yoke, and statistical process control.
  • Cable harness or electromechanical assembly experience.
  • SQL, Python, or scripting experience to build tools and automate data work.
  • Experience at a startup or fast-scaling hardware company.

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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