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Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Lead Hardware Engineer - Production

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeWatertown, MA, USA$150k - $200k /yr

About the Job

Requirements

  • A bachelor's degree in Electrical, Mechanical, Computer, or Mechatronics Engineering is required; a master's degree is a plus.
  • Senior hardware engineering experience, typically 8 or more years, designing, integrating, and debugging complex electromechanical systems; candidates must have owned hardware rather than only the process that builds it.
  • Strong electrical fundamentals, including reading schematics, using oscilloscopes and meters, and personally isolating root causes across power, PCBAs, sensors, actuators, and communication interfaces.
  • A track record of driving recurring failures to permanent corrective action.
  • Hands-on design-for-manufacturing and design-for-test experience working with design engineering to make products buildable, testable, and cost-effective.
  • Experience building test systems, including fixtures, bring-up, end-of-line, or automated testing.
  • Experience taking hardware from development through new product introduction into volume production.
  • Experience as a technical lead, including setting standards, reviewing work, and mentoring engineers.
  • Daily use of AI tools such as Claude in engineering work, with readiness to discuss something built using them.

Responsibilities

  • Lead Production Engineering technically by setting engineering standards, mentoring and developing engineers, reviewing their work, and serving as the escalation point for the hardest problems on the floor.
  • Debug electrical, mechanical, and system-level issues on robots being prepared for shipment across PCBAs, power distribution, harnesses, sensors, actuators, motor controls, and communication interfaces; drive recurring build issues to root cause, permanent corrective action, and validation.
  • Own the manufacturing test architecture and build test systems, fixtures, and diagnostics from component testing through bring-up, end-of-line testing, and Factory Acceptance Testing; build solutions to close test gaps identified by the Quality and Reliability Engineer.
  • Represent manufacturing in hardware design reviews; drive design for manufacturing, test, and service early, and challenge decisions that add complexity, quality risk, or cost.
  • Bring new robot platforms and engineering changes into production with validated processes, tooling, fixtures, work instructions, and test coverage; define test-data and traceability requirements so build and test results flow into the manufacturing execution system.
  • Own first-pass yield, rework, and cost-to-build; reduce labor, scrap, and bill-of-materials cost while maintaining reliability, and qualify part changes and second sources for robots in production.

Desired Qualifications

  • Robotics, industrial automation, or startup experience taking a product from low volume to scale.
  • Cost-reduction experience, including should-cost analysis, value engineering, or bill-of-materials and labor reduction.
  • Python for test automation, diagnostics, or data analysis.
  • PCB design reviews and design-for-testability experience.
  • Manufacturing execution system, traceability, or engineering change control experience.
  • Contract manufacturer or supplier bring-up experience.

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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