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10 часов назад

Senior Silicon Emulation Engineer

120 000 - 225 000$
Формат работы
hybrid
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
Senior Silicon Emulation Engineer (AI Accelerators/SoCs): Developing and validating hardware emulation platforms for AI accelerators and AI-centric SoCs with an accent on early firmware, driver, runtime, and ML stack bring-up. Focus on integrating large-scale RTL, debugging HW/SW co-design issues, and analyzing AI workload performance, bandwidth, latency, and throughput before silicon availability.

Location: Austin, TX; hybrid workplace

Salary: $120,000–$225,000 annually

Company

hirify.global develops analog AI computing technology for edge devices, cloud, and data center environments, serving industrial, automotive, aerospace, and defense applications.

What you will do

  • Develop and maintain emulation platforms for AI accelerators and AI-centric SoCs.
  • Integrate large-scale RTL, including compute, DMA, memory subsystems, and interconnects, into emulation environments.
  • Enable early firmware, driver, runtime, and ML stack bring-up on emulated hardware.
  • Run AI inference workloads such as CNNs and transformers, and debug HW/SW co-design issues with compiler, runtime, and ML teams.
  • Build automation for emulation builds, regressions, and workload execution.
  • Analyze performance, bandwidth utilization, latency, and throughput, and support post-silicon correlation and validation.

Requirements

  • Bachelor’s, Master’s, or Doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong understanding of SoC architectures and AI accelerator design concepts.
  • Experience with RTL simulation and emulation using Verilog or SystemVerilog.
  • Familiarity with hardware emulation platforms such as Cadence Palladium.
  • Experience in Linux-based environments and proficiency with Python, Tcl, and Bash scripting.
  • Strong debugging skills across hardware and software layers.

Nice to have

  • Experience with NPU, DSP, or GPU-class accelerators and ML inference workloads on pre-silicon platforms.
  • Knowledge of AI software stacks, including runtimes, compilers, and graph execution.
  • Familiarity with DMA engines, memory hierarchies, high-bandwidth interconnects, AXI/AMBA protocols, and cache coherency.
  • Experience with FPGA prototyping, hybrid emulation flows, performance modeling, or architectural trade-off analysis.

Culture & Benefits

  • Collaborative and respectful work environment.
  • Supportive team culture with tools and resources for delivering complex engineering work.
  • Values include professionalism, creativity, integrity, and inclusion.
  • Full-time position with compensation determined by experience, skills, qualifications, and location.

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