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5 дней назад

Senior SDK Hardware Simulation Engineer (Embedded)

Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior SDK Hardware Simulation Engineer (Embedded): Designing and building high-performance C++ hardware simulators for neuromorphic processors with an accent on transaction-level modeling and system validation. Focus on replicating complex SoC architectures, optimizing simulation performance, and enabling early application development before hardware availability.

Company

hirify.global is a Dutch semiconductor company developing ultra-efficient neuromorphic processors for AI at the edge.

What you will do

  • Design and implement simulation models in modern C++ to replicate neuromorphic processors, CPUs, and memory systems.
  • Convert technical hardware specifications into high-performance, verifiable software models.
  • Contribute to performance modeling by simulating power consumption and latency to identify bottlenecks.
  • Support early application development by providing accurate and configurable hardware simulation tools.
  • Collaborate with digital design, firmware, and SDK teams to ensure models faithfully reflect real hardware.
  • Take ownership of simulation infrastructure quality, including unit testing, code reviews, and maintainability.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
  • Strong C++ development skills (C++17/20).
  • Proven track record of designing modular, maintainable, and testable software architecture.
  • Experience in transaction-level modeling of hardware components.
  • Solid understanding of digital hardware fundamentals such as CPU, instruction sets, memory systems, and DMA.
  • Working knowledge of Python for scripting, automation, or SDK integration.

Nice to have

  • Experience with RTL simulations and signal-level hardware behavior.
  • Experience in low-power resource-constrained embedded programming.
  • Exposure to bare-metal firmware development and assembly language.
  • Familiarity with RISC-V or ARM computer architectures.
  • Knowledge of machine learning, edge AI, and Spiking Neural Networks (SNN).

Culture & Benefits

  • Opportunity to work on cutting-edge neuromorphic technology.
  • Collaborative environment working across digital design, firmware, and SDK teams.
  • Commitment to diversity, inclusion, and equal opportunity employment.
  • Supportive workplace with accommodations available during the recruitment process.

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