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    Robotics Hardware Engineer - Cambridge, United States - The AI Institute

    The AI Institute
    The AI Institute Cambridge, United States

    3 weeks ago

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    Description

    At The AI Institute, we embrace the kind of blue-sky thinking that's typically practical only in an academic setting, and make it real through structured teamwork and resources more common to top-tier industry teams. We need people who are comfortable playing in both worlds and excited to build some hardware.

    What you will be doing

    Work as a key part of cross-functional teams developing the next generation of high performance and intelligent robotic systems. You will bring novel hardware products and processes to life that are, themselves, celebrated research advances. Learn from world-renowned technologists, teach the skills you built, and play with cool robots.

    What we are looking for

    We are searching for technical leaders with a strong grasp of the fundamentals in mechanical engineering and experience working through the common traps in robotics. Competitive candidates will be adept at navigating the ambiguities of research and rallying teams around the processes and rigor required to make a robot that works more than once. We don't expect you to meet all of the requirements below, but below are some of the things we'll be looking for.

    Below is some of what we expect from mechanical-focused candidates

    • BS in Mechanical Engineering, a related field, or equivalent experience solving complex hardware challenges.
    • 10+ years of relevant industry experience
    • Strong background selecting, assembling, and troubleshooting motors, motor controllers, and other electro-mechanical components
    • Mastery of 3D CAD systems (Solidworks or similar) and experience negotiating version control with multiple contributors on large assemblies
    • Familiarity with technical drawings and good GD&T practices
    • Skilled with common mechanical prototyping tools and processes (mills, lathes, printers, etc)
    • Proficiency with one or more engineering analysis tools (Simulation, FEA, Python, Matlab, etc)
    • Excited to teach others and grow outside of their technical discipline


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