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1 день назад

Staff Engineer, AI System Architect (Hardware)

163 000 - 253 000$
Формат работы
onsite
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
Staff Engineer, AI System Architect (Hardware) (AI systems and hardware architecture): Developing next-generation AI system architectures and performance-modeling frameworks across compute, memory, and interconnect subsystems with an accent on large-scale AI workloads, scalability, and performance-per-watt analysis. Focus on designing analytical and event-driven simulations, exploring system-level trade-offs, and translating LLM and DLRM workload characteristics into hardware architecture decisions.

Location: Daily onsite presence required at the San Jose, California office, United States. Occasional domestic and international travel of less than 10%.

Base pay: $163,000–$253,000 USD per year, plus incentive opportunities.

Company

hirify.global develops technology solutions for smartphones, electric vehicles, hyperscale data centers, IoT devices, and other applications.

What you will do

  • Conduct system-level architectural research for next-generation AI platforms across compute, memory, and interconnect/network subsystems.
  • Develop and maintain analytical and simulation-based modeling frameworks for rack- and system-scale performance evaluation.
  • Analyze LLM, DLRM, and emerging AI workloads to identify performance, scalability, efficiency, power, and architecture trade-offs.
  • Drive architecture decisions through quantitative modeling, design-space exploration, and performance-per-watt projections.
  • Compare alternative system architectures and communicate recommendations through technical presentations and documentation.
  • Collaborate with hardware architecture, memory, interconnect, and system engineering teams.

Requirements

  • Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • 5+ years of experience in system architecture for large-scale computing platforms, focused on AI workloads.
  • Hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation.
  • Deep understanding of AI hardware architectures, compute systems, memory hierarchies, and high-performance interconnects.
  • Strong knowledge of LLMs, DLRMs, and large-scale training and inference systems.
  • Proficiency in Python, C++, and PyTorch, with strong written, verbal, and presentation skills.

Culture & Benefits

  • Inclusive workplace supporting diverse perspectives and collaboration across global teams.
  • Medical, dental, vision, and 401(k) benefits.
  • 4+ weeks of paid time off annually, plus holidays and sick leave.
  • Family support programs, including fertility and adoption assistance.
  • Emotional wellness resources, including confidential therapy sessions.
  • Onsite café and gym, virtual fitness classes, charitable giving match, and flexible work environment within the onsite policy.

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