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2 дня назад

Architect (AI/SoC)

175 000 - 265 000$
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

Текст:
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TL;DR
Architect (AI/SoC) (AI compute engines and deep learning): Defining SoC requirements and architecture for efficient AI compute engines with an accent on performance, power efficiency, memory, interconnects, and hardware-software co-design. Focus on modeling AI workloads, exploring CPU/GPU/ASIC and ML accelerator architectures, and optimizing customer workloads for deployment.

Location: Hybrid in Santa Clara, California, United States

Salary: $175,000–$265,000 annually, plus equity and bonus opportunities.

Company

hirify.global develops software and hardware for generative AI and efficient AI compute.

What you will do

  • Lead the definition, design, and delivery of SoC requirements and architecture.
  • Analyze transformer, CNN, and other AI workloads to identify bottlenecks and architectural opportunities.
  • Drive hardware-software co-design across SIMD engines, control planes, data reshape and conversion blocks, NoC substrates, memory, interconnects, packaging, and thermal management.
  • Develop performance projections, high-level and cycle-accurate models, performance correlations, and performance debugging for current and next-generation products.
  • Develop architectural exploration and simulation tools, contribute to kernel development and networking fabric enhancements, and collaborate with software teams on stack milestones.
  • Port and optimize customer workloads, create reference implementations, evaluate performance, and contribute to technical publications and intellectual property.

Requirements

  • MS in Computer Science, Electrical and Computer Engineering, or a related scientific discipline, with 5+ years of relevant experience in compute architecture and system design.
  • 5+ years of experience leading SoC architecture or design development.
  • Expert knowledge of AI SoC architecture, requirements, and definition.
  • Experience with CPU, GPU, ASIC, and ML accelerator architecture exploration and modeling.
  • High proficiency in performance modeling, algorithm analysis, data structures, and Python programming.
  • Deep knowledge of machine learning and deep learning, including CNN, RNN, and Transformer architectures.

Nice to have

  • PhD in Computer Science, Electrical and Computer Engineering, or a related scientific discipline.
  • Experience with specialized hardware accelerator systems for deep neural networks.
  • Proficiency in C/C++ programming.
  • Experience in a fast-paced startup environment.

Culture & Benefits

  • Collaborative and inclusive environment centered on respect, humility, direct communication, and execution.
  • Medical, dental, and vision coverage.
  • 401(k) and an inclusive rewards plan supporting employee wellbeing.
  • Equity and performance-based bonus opportunities.

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