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8 дней назад

Embedded Software Engineer (AI)

120 000 - 300 000$
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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Описание вакансии

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TL;DR
Embedded Software Engineer (AI): Building system software for next-generation AI hardware across kernel, user space, MCU, RTOS, bare metal, and embedded Linux environments with an accent on device drivers, cross-stack interfaces, and hardware integration. Focus on profiling memory and power consumption, debugging across software and hardware boundaries, and optimizing complex embedded systems.

Location: San Jose, United States

Salary: $120,000–$300,000 annually

Company

hirify.global is an artificial intelligence laboratory developing personalized agentic intelligence and next-generation hardware interfaces.

What you will do

  • Design, implement, and debug system-level components across kernel, user space, and microcontroller domains.
  • Develop software for RTOS, bare metal, and embedded Linux environments.
  • Build and maintain interfaces across the software stack to deliver end-to-end hardware features.
  • Analyze performance and create memory and power profiles, then address the identified gaps.
  • Collaborate with BSP, platform, UX, firmware, and hardware teams to integrate system software, drivers, and user-facing behavior.
  • Debug issues across layer and process boundaries, from user-space services to hardware.

Requirements

  • 5+ years of professional embedded software development experience on shipping hardware products.
  • Proficiency in C and C++, or Rust.
  • Experience developing device drivers and working with RTOS and bare metal environments.
  • Experience with performance and power optimization.
  • Solid computer architecture fundamentals and hands-on experience with modern microcontrollers.
  • Familiarity with embedded toolchains and cross-compilation, plus strong communication skills across firmware, hardware, and product teams.

Nice to have

  • Experience with DSP audio, camera ISP, NPUs, hardware accelerators, or inference runtimes.
  • Experience with commercial silicon SoCs and vendor toolchains.
  • Networking and connectivity experience, including wireless stacks.
  • Experience with complex, multi-core SoCs or the Android platform, including AOSP.

Culture & Benefits

  • Full-time work on next-generation AI hardware.
  • Cross-functional collaboration with BSP, platform, UX, firmware, and hardware teams.
  • Total compensation may include additional components and benefits depending on the role.

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