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10 часов назад

Embedded Software Engineer for Architecture Team (ADAS)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
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 for Architecture Team (ADAS) (C/C++, Python, Virtual Platforms): Developing virtual platforms, performance models, and profiling tools for current and next-generation ADAS/AV systems with an accent on EyeQ SoC performance verification, hardware benchmarking, and software optimization. Focus on correlating virtual platform results with silicon measurements, analyzing CPU performance, and collaborating with hardware, OS, and algorithm teams.

Location: On-site in Jerusalem, Israel

Company

hirify.global develops technologies for advanced driver-assistance and autonomous driving systems, including EyeQ platforms.

What you will do

  • Verify the performance of EyeQ SoC designs.
  • Develop hardware virtual platforms used for pre-silicon architecture optimization and software development.
  • Run hardware benchmarks and correlate virtual platform results with silicon measurements.
  • Build tracing and profiling tools for CPU performance analysis and optimization.
  • Collaborate with hardware architects and software, operating system, and algorithm teams.

Requirements

  • BSc or MSc in Computer Science, Computer Engineering, or Electrical Engineering.
  • 5+ years of experience in C/C++ programming.
  • 5+ years of experience in embedded software development.
  • Experience with Python and shell scripting.
  • Strong communication and teamwork skills.

Nice to have

  • Experience with performance verification, QEMU, CPU benchmarking, or performance analysis.
  • Experience with Embedded Linux.
  • Familiarity with assembly languages and hardware architecture concepts.
  • Experience with SystemC.

Culture & Benefits

  • Work as part of the Virtual Platforms and Performance Verification team in the EyeQ Platform Group.
  • Contribute to both pre-silicon hardware architecture optimization and post-silicon software performance optimization.
  • Collaborate across hardware, software, operating system, and algorithm disciplines.

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