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8 часов назад

RTL Intern (AI Hardware)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
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
RTL Intern (AI Hardware): Designing microarchitecture and implementing Verilog logic for inference-focused AI hardware with an accent on RTL block development, synthesis, and timing feedback. Focus on building high-speed digital logic, verifying designs with test benches, and learning modern transformer and LLM architectures.

Location: On-site at the office in San Jose, California

Company

hirify.global co-designs chips, racks, software, and manufacturing systems for high-throughput, low-latency AI inference.

What you will do

  • Design microarchitecture and implement logic in Verilog.
  • Develop RTL blocks for machine learning hardware architectures.
  • Participate in the full design cycle, from microarchitecture discussions through synthesis and timing feedback.
  • Contribute to verification work and write test benches.
  • Work across engineering and research disciplines on inference-focused AI systems.

Requirements

  • Progress toward a Bachelor’s, Master’s, or PhD degree in electrical engineering, computer engineering, or a related field.
  • Familiarity with high-speed digital logic and ASIC or SoC design concepts.
  • Familiarity with SystemVerilog, UVM, or Python.
  • Exposure to verification, test benches, physical design flows, and related tooling.
  • Ability to learn quickly about transformers and modern artificial intelligence.

Nice to have

  • Familiarity with modern ML and LLM model architectures.
  • Knowledge of numerical representations and functions.
  • Experience with clocking and reset schemes.
  • Ability to program with Python or another scripting language.

Culture & Benefits

  • 12-week paid internship based in San Jose.
  • Housing support for candidates relocating to the area.
  • Daily lunch and dinner at the office.
  • Direct mentorship from experienced engineers and industry leaders.
  • Fully in-person environment with cross-disciplinary engineering and research work.

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