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20 часов назад

Senior Embedded Applications Engineer (Edge AI)

84 000 - 105 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Embedded Applications Engineer (Edge AI): Building and deploying edge AI applications that combine machine learning with sensor data and real-world hardware, with an accent on embedded platforms, microcontrollers, and digital signal processing. Focus on collecting and preprocessing high-frequency sensor datasets, optimizing AI models for embedded systems, and leading junior engineers across cross-functional teams.

Location: 100% onsite in Columbia, Maryland, United States

Salary: $84,000–$105,000 annual pay, plus eligibility for bonus opportunities and commission pay.

Company

hirify.global is an embedded semiconductor solution provider developing technology for automotive, industrial, infrastructure, and IoT applications.

What you will do

  • Assemble hardware setups, sensor arrays, and embedded boards, and collect data from physical environments.
  • Develop and maintain edge AI applications, demonstrations, and tiny ML solutions for consumer, industrial, and automotive hardware.
  • Ingest, debug, analyze, and preprocess data with product and marketing teams.
  • Optimize and deploy AI models for microcontrollers and embedded platforms.
  • Lead junior engineers and provide technical leadership across teams.
  • Track emerging technologies in AI, embedded ML, and signal processing.

Requirements

  • Bachelor’s or master’s degree in electrical engineering or a related technical field.
  • Hands-on experience fabricating prototype systems with physical, microelectronic, and sensor components, including design tools, 3D printing, and electrical and physical assembly.
  • Experience with sensors and their use in embedded systems, including audio, electrical, accelerometer, and control-system signals.
  • Experience handling large, high-frequency sensor datasets, including debugging and preprocessing.
  • Understanding of AI/ML algorithms and experience deploying models on microcontrollers.
  • Proficiency in Python, MATLAB, and C, with experience in real-time edge computing, embedded systems, and DSP for audio and time-series data.

Culture & Benefits

  • Regular employment with medical, dental, vision, life insurance, disability, and flexible spending benefits.
  • Paid sick time, paid holidays, accrued vacation, commuter benefits, and pet insurance.
  • Collaborative work across a global organization of more than 21,000 engineers and problem solvers in over 30 countries.
  • Culture grounded in transparency, agility, global collaboration, innovation, and entrepreneurship.

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