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Embedded System Engineer Intern

Halo Braid

Boston, massachusetts


Job Details

Temporary


Full Job Description

WHO ARE WE

Halo Braid is a mission-driven startup creating the first automated hair braider. We reduce braiding time from hours to minutes, empowering stylists to triple their business, and addressing the 8 billion hours spent braiding hair each year. Our team of VC-backed serial founders brings experience from MIT, Harvard, Apple, Rivian, and Amazon Robotics.

ABOUT YOU

You’re an Embedded System Engineer that can help build our next hair product. You’re passionate, embrace challenges and like working on interesting problems. You want to build things real people want. This is a unique opportunity to launch a new product and create significant impact in an overlooked industry.

ABOUT THE ROLE

Halo Braid is looking for an embedded system engineering intern to help us refine our first product.  This paid internship role will collaborate with the founding team, engineers and designers to build the product. You’re a strong problem solver who can design, experiment, and prototype under deadlines. This is an opportunity to learn how to build a consumer product from industry experts and make an impact on an innovative product design.

We highly value diversity at our company and encourage applications from all backgrounds. 

If your experience doesn't match our criteria exactly but you're passionate about contributing to our mission, we'd love to hear from you. Please apply and tell us how you can make a difference!

Requirements

Ideally you have experience with:

  • Programming on embedded systems: Python and C++
  • Arduino and Raspberry Pi
  • PID control
  • Integrating mechatronic and robotics components such as different types of motors especially stepper motors, electromagnets and solenoids
  • Perf board soldering and PCB shield design
  • Electronic circuit design and schematic drawings
  • Great communication skills

Bonus if you have experience with:

  • Embedded Linux for IoT devices
  • OpenCV and computer vision libraries

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