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7 дней назад

Embedded Software Engineer, Platform (AI Hardware)

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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TL;DR
Embedded Software Engineer, Platform (AI Hardware): Building and optimizing OS platform services, system daemons, virtualization frameworks, and backend protocols for next-generation AI hardware with an accent on multi-core SoC architecture, embedded operating systems, and performance and power optimization. Focus on designing platform services, analyzing protocol and system performance, and integrating device software across BSP, embedded, UX, backend, and AI systems.

Location: San Jose, United States

Salary: $120,000–$300,000 annually

Company

hirify.global is an artificial intelligence company developing multimodal intelligence and next-generation hardware that interacts with people and the physical world through speech, text, vision, and persistent memory.

What you will do

  • Design, configure, maintain, and optimize OS platform services running on AI hardware.
  • Build system services, daemons, frameworks, networking primitives, and communication protocols.
  • Own backend integrations, including protocol design and performance analysis.
  • Develop virtualization frameworks and multi-OS system designs.
  • Profile and tune platform performance and power consumption across multi-core systems.
  • Collaborate with BSP, embedded software, UX, backend, and AI teams to integrate platform and device software.

Requirements

  • 5+ years of professional embedded software development experience on shipping hardware products.
  • Proficiency in C, C++, or Rust.
  • Deep understanding of computer architecture and operating system fundamentals.
  • Experience building OS services, frameworks, and platform software for embedded systems.
  • Experience with Unix, BSD Linux, VxWorks, QNX, or another modern operating system.
  • Experience with performance and power optimization, multi-core SoCs, IoT frameworks such as MQTT, RabbitMQ, or CoAP, and embedded toolchains or cross-compilation.

Nice to have

  • Networking and connectivity experience, including wireless stacks.
  • Experience with constrained system architectures, MCUs, hardware accelerators, or inference runtimes such as ONNX and TensorFlow.
  • Experience with agentic frameworks or Linux kernel and kernel-adjacent platform development.
  • DSP audio or camera ISP development experience.

Culture & Benefits

  • Work on multimodal AI systems and next-generation hardware designed as a unified interface.
  • Collaborate across embedded, hardware, UX, backend, and AI disciplines.
  • Full-time position with base salary and additional compensation components or benefits depending on the role.

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