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3 дня назад

Embedded Software Engineer

175 000 - 275 000$
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: Develop critical embedded and system-level software for the Cerebras Wafer Scale Engine, the world's largest AI processor, with an accent on embedded systems fundamentals, Linux BSP support, and hardware-software interaction. Focus on building administrative services, collaborating with hardware teams, and improving system reliability and observability.

Location

Location: On-site at Headquarters/Sunnyvale Office, United States

Company

hirify.global Systems builds the world's largest AI chip, delivering industry-leading training and inference speeds and partnering with leading AI labs and enterprises.

What you will do

  • Develop administrative software enabling communication between system-level software and cluster-level control layers.
  • Provide and extend Linux BSP support for system platform components.
  • Collaborate across teams to gather requirements, plan milestones, and deliver implementations.
  • Work with datacenter operations and debug teams to diagnose and fix system-level issues.
  • Partner with hardware and ASIC teams to design software monitoring system hardware and wafer behavior.
  • Improve system reliability, observability, and maintainability across embedded software layers.

Requirements

  • Bachelor’s degree in computer engineering, electrical engineering, computer science, or related field
  • 5+ years experience in production-quality software development in C++ or Golang
  • Solid understanding of embedded systems fundamentals or system hardware interactions
  • Experience working in cross-functional engineering environments.

Nice to have

  • Master’s degree in related fields.
  • Exposure to distributed systems, cluster orchestration, or datacenter environments.
  • Familiarity with Linux kernel concepts, device drivers, or BSP layers.
  • Experience debugging hardware/software interactions with tools like logic analyzers, JTAG, profiling frameworks.
  • Experience with system monitoring, observability tooling, or hardware telemetry pipelines.

Culture & Benefits

  • Work on breakthrough AI platform beyond GPU constraints.
  • Opportunity to publish and open source cutting-edge AI research.
  • Work with one of the fastest AI supercomputers globally.
  • Enjoy job stability with startup vitality.
  • Simple, non-corporate work culture respecting individual beliefs.

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