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2 дня назад

Mechanical Engineer Co-op (Robotics)

Формат работы
onsite
Тип работы
project
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Mechanical Engineer Co-op (Robotics): Designing and building hardware systems for autonomous scientific discovery with an accent on robotics and lab automation workcells. Focus on CAD design, prototyping via 3D printing, and developing multi-axis motion assemblies to accelerate scientific research.

Location: Onsite in Cambridge, MA, USA

Company

hirify.global is building Scientific Superintelligence to accelerate discovery across medicine, materials, and energy through autonomous AI Science Factory instruments.

What you will do

  • Design and engineer components for bench-scale robotics and full-size lab automation workcells.
  • Collaborate with cross-functional teams on CAD design and analysis.
  • Prototype and test solutions using 3D printing and other fabrication methods.
  • Develop static fixtures and multi-axis motion assemblies.
  • Support assembly and build processes under senior engineering guidance.
  • Manage discrete project tasks from specification to final delivery.

Requirements

  • Currently pursuing a Bachelor's degree in Mechanical Engineering, Robotics, or a related field.
  • Experience with SolidWorks CAD (Parts and Assemblies) or similar parametric 3D software.
  • Must be located in or able to work onsite in Cambridge, MA, USA.
  • Strong problem-solving abilities and attention to detail.
  • Ability to collaborate across multiple teams and stakeholders.

Nice to have

  • Basic understanding of GD&T.
  • Experience designing for Milling, Lathing, Sheet Metal, or 3D Printing.
  • Previous co-op/internship experience in industrial or lab automation.
  • Knowledge of robotics, industrial controls, electrical engineering, or automation software.
  • Experience with SolidWorks PDM.

Culture & Benefits

  • Opportunity to work on cutting-edge "Scientific Superintelligence" technology.
  • Fast-paced startup environment emphasizing truth, trust, curiosity, grit, and velocity.
  • Interdisciplinary collaboration with AI/ML researchers and experimental scientists.
  • Equal employment opportunity commitment.

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