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10 часов назад

Senior Embedded Engineer (AI)

Формат работы
hybrid
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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Описание вакансии

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TL;DR
Senior Embedded Engineer (AI/C++): Building and optimizing software for solar-powered AI traffic-enforcement cameras with an accent on real-time video processing, sensor integration, and resource-constrained embedded performance. Focus on designing edge inference systems, balancing detection accuracy with power and processing limits, and ensuring reliable operation across challenging outdoor environments.

Location: San Carlos, United States; hybrid work

Company

hirify.global develops solar-powered, AI-assisted cameras that automate traffic-law enforcement and improve pedestrian safety.

What you will do

  • Lead embedded software architecture for AI-enabled camera systems, including sensor integration, image processing, and real-time inference pipelines.
  • Optimize production C++ code for resource-constrained hardware while balancing detection accuracy, power consumption, and processing speed.
  • Design reliable embedded systems for varied weather conditions and large-scale deployments.
  • Own integration with camera sensors, communication modules, and power-management systems using standard embedded protocols.
  • Collaborate with AI and backend teams on computer-vision model deployment and critical data transmission.
  • Establish testing, debugging, and field-troubleshooting practices while mentoring engineers and setting technical standards.

Requirements

  • 10+ years of production embedded software development experience with C/C++ and demonstrated technical leadership.
  • Deep knowledge of real-time programming, memory management, hardware interfaces, and system-level optimization.
  • Production experience with camera systems, image processing, or computer-vision applications.
  • Advanced embedded debugging, testing, and performance-optimization skills.
  • Understanding of power management, thermal constraints, environmental conditions, and architectural trade-offs.
  • Experience leading cross-functional initiatives, communicating complex concepts, mentoring engineers, and establishing technical standards.

Nice to have

  • Experience with edge AI inference, embedded Linux, real-time operating systems, or outdoor and industrial embedded deployments.
  • Background in safety-critical or automotive systems.

Culture & Benefits

  • Work on technology intended to reduce traffic fatalities and improve road safety.
  • Fast-moving Series A startup environment with meaningful ownership.
  • Competitive compensation and early-stage equity.
  • Series A funding of $22 million led by Bain Capital.

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