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Роль чётко описана и даёт техническую ответственность в производстве AI-роботов, но без зарплатного диапазона сложно оценить условия относительно рынка.
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Зарплата не указанаПонятная зона ответственностиРобототехника и ИИТехническое лидерство
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Manufacturing Engineer (Robotics): Building and scaling manufacturing, test, quality, and NPI systems for AI-powered robot platforms with an accent on electromechanical integration, automated testing, production validation, and reliability. Focus on diagnosing complex failures, improving yield and throughput, implementing engineering changes, and transferring new hardware into repeatable production.
Location: Watertown, Massachusetts; on-site
Company
Develops and deploys AI-powered robots that automate real-world operations and scales manufacturing across multiple robot platforms.
What you will do
Set technical direction across Manufacturing Engineering, Test Engineering, Quality, and NPI.
Diagnose complex manufacturing, electrical, mechanical, and test failures and drive permanent fixes.
Develop and validate manufacturing processes, tooling, fixtures, work instructions, and production controls.
Build test strategies, automation, infrastructure, acceptance criteria, and traceable results from component testing through end-of-line testing and FAT.
Lead failure investigations, corrective actions, nonconforming material dispositions, and reliability improvements.
Drive design for manufacturability, assembly, test, and serviceability, including engineering changes and transfer of new products into stable production.
Requirements
Bachelor’s degree in Mechanical, Electrical, Computer, or Manufacturing Engineering, or equivalent experience.
Deep hands-on experience building and debugging complex electromechanical systems.
Technical leadership across mechanical, electrical, systems integration, and test disciplines.
Experience building manufacturing processes, tooling, automated test systems, and validation methods.
Proven results improving quality, first-pass yield, reliability, and throughput, and taking hardware into scalable production.
Ability to mentor and lead engineers without direct authority, using structured problem-solving and sound engineering judgment.
Nice to have
Experience with robotics, industrial automation, or similarly complex hardware.
Test software, Python, SQL, or test automation experience.
MES/PLM implementation and engineering change control experience.
Experience scaling manufacturing at a startup or fast-growing hardware company.
Use of AI and automation to improve engineering workflows.
Culture & Benefits
Hands-on technical leadership with no direct people-management responsibility.
Ownership, urgency, disciplined execution, and continuous problem-solving are valued.
Core principles include love of the game, gumption, beginner’s mindset, belief in each other, forward motion, and customer obsession.
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