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2 дня назад

Staff Electrical Engineer (R&D) (IoT Hardware)

165 000 - 195 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Staff Electrical Engineer (R&D) (IoT Hardware): Spearheading early-stage design and development of biometric wearable devices, using data analytics to guide decision-making and determine success criteria. Focus on data-driven system validation, circuit design, and prototyping to shape the future of wearable technology.

Location: This role is based in the hirify.global office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Salary: $165,000 - $195,000

Company

hirify.global empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

What you will do

  • Spearhead early-stage design and development of biometric wearable devices, using data analytics to guide decision-making and determine success criteria.
  • Design and execute system-level validation protocols, utilizing engineering fundamentals combined with statistical methods to ensure optimal performance in real-world scenarios.
  • Use Python and other statistical tools to process large data sets, conduct feasibility testing, and inform engineering design decisions.
  • Test and validate hardware prototypes for in-depth functional testing, utilizing a variety of lab equipment for debugging and analysis.
  • Partner with teams across hardware, software, data science, and product to shape development strategies, ensuring data insights drive both technical and strategic decisions.
  • Collaborate with external partners, suppliers, and contract manufacturers to ensure successful development and scale-up of products.

Requirements

  • BS or higher in Electrical Engineering, Computer Science, Mathematics, Statistics, or a related field.
  • 7+ years of experience.
  • Strong ability to apply data analytics to solve complex engineering challenges and propose creative, data-driven solutions.
  • Proficiency in applying advanced statistical techniques, particularly in time-series data analysis, using Python or similar tools (e.g., Minitab).
  • Experience with hardware prototyping and debugging, utilizing lab equipment such as oscilloscopes, multimeters, and impedance analyzers.
  • Solid understanding of circuit design principles.

Culture & Benefits

  • Competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
  • Generous equity package.
  • Benefits.

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