Назад
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1 день назад

Staff Firmware Engineer (AI)

100 000 - 500 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Firmware Engineer (Embedded/AI): Development of system management firmware for AI products with an accent on bootloaders, embedded Linux, and low-level host integration. Focus on bringing up new hardware platforms, optimizing power-management capabilities, and ensuring system reliability.

Location: Hybrid, based out of Toronto, ON

Salary: $100k - $500k

Company

hirify.global is leading the industry on cutting-edge AI technology, developing high-performance RISC-V CPUs and AI platforms.

What you will do

  • Develop and optimize embedded firmware for microcontrollers and SoCs used in hirify.global boards.
  • Perform hardware bring-up through early diagnostics, power-on sequencing, and low-level driver development.
  • Build reliable boot, update, recovery, telemetry, logging, and power-management capabilities.
  • Create and maintain strong validation coverage using unit, integration, and hardware-in-the-loop testing.
  • Collaborate across hardware, validation, and software teams to define firmware architecture and maintainability.

Requirements

  • 5+ years of experience in embedded firmware or low-level system software development.
  • Strong C/C++ fundamentals across memory layout, interrupts, concurrency, and bare-metal or RTOS-based development.
  • Hands-on experience bringing up hardware platforms and debugging at the hardware-software boundary.
  • Comfortable working with bootloaders, embedded Linux, drivers, and host management interfaces.
  • Must be eligible to access U.S. export-controlled technology.

Nice to have

  • Experience with Zephyr RTOS.
  • Knowledge of power and thermal management or secure boot.
  • Experience with CI and Python-based automation.

Culture & Benefits

  • Highly competitive compensation package and benefits.
  • Work environment based on collaboration, curiosity, and solving hard problems.
  • Opportunity to contribute to next-generation AI hardware and platform standards.

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