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Diagnostics Software Engineer (Embedded)

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

Diagnostics Software Engineer (Embedded): Designing and implementing production-grade diagnostic software for high-speed digital boards and ASICs to validate networking hardware with an accent on board bring-up and manufacturing yield optimization. Focus on root-cause analysis of hardware failures and developing system software for Linux-based appliance platforms.

Location: Nashua, NH, USA

Company

hirify.global is an industry leader in data-driven, client-to-cloud networking for large data centers, campus, and routing environments.

What you will do

  • Design, implement, and test production-grade diagnostics for high-speed digital boards and ASICs.
  • Develop manufacturing tests to validate the mass production of data center networking products.
  • Perform bring-up of newly manufactured boards and port first-level software.
  • Isolate and perform root-cause analysis of reported hardware failures.
  • Coordinate with hardware engineering teams on bring-up schedules and feature delivery.
  • Mentor junior team members and organize project activities.

Requirements

  • BS in Computer/Electrical Engineering or Computer Science.
  • 5+ years of experience in software engineering.
  • Proficiency in C/C++ and scripting languages such as Python, Perl, or TCL.
  • Strong knowledge of embedded programming and Linux/Unix OS internals.
  • Deep understanding of computer networking and OSI layers (TCP/IP).
  • Knowledge of PCIe, I2C, XAUI, 10G Ethernet drivers, FPGA, Switch chips, and TCAM programming.

Culture & Benefits

  • Inclusive environment that values diversity of thought and perspectives.
  • Award-winning engineering team recognized for excellence.
  • Company culture focused on high compensation and work-life balance.
  • Opportunity to work with cutting-edge cloud computing and AI networking technologies.

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