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13 часов назад

AI/ML ASIC Architect (AI/ML)

194 425 - 322 092$
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
AI/ML ASIC Architect (AI/ML): Developing AI storage solutions and accelerator ASIC architectures integrating GPU/TPU/xPU systems through UCIe, PCIe, and CXL, with an accent on high-bandwidth memory, DMA, and modular I/O subsystems. Focus on architecting memory-efficient LLM training and inference systems, analyzing PPA tradeoffs, and optimizing hardware and software performance across pre-silicon and post-silicon stages.

Location: Milpitas, California, United States; onsite at the Milpitas office

Salary: $194,425–$322,092 per year

Company

hirify.global develops flash memory, storage solutions, and advanced data-centric hardware products for businesses and consumers.

What you will do

  • Drive AI/ML ASIC architecture integrating AI storage with GPU, TPU, NPU, and other xPU accelerators.
  • Define PCIe, UCIe, CXL, DMA, NoC, memory-controller, embedded-processor, and FPGA-fabric interactions.
  • Create modular I/O subsystem architectures for chiplet, monolithic, and 3D package implementations.
  • Author architecture specifications and guide pre-silicon design, verification, emulation, firmware, and post-silicon validation.
  • Analyze performance, power, area, endurance, and schedule tradeoffs with customers and cross-functional teams.
  • Characterize LLM workloads and optimize memory-efficient training and inference systems, including KV cache, Flash Attention, MoE, pruning, quantization, batching, and speculative decoding.

Requirements

  • Bachelor’s, master’s, or PhD in Computer Engineering or Electrical Engineering.
  • 15+ years of hands-on architecture experience authoring specifications.
  • Strong ASIC, SoC, or I/O subsystem architecture experience with PCIe, UCIe, CXL, and DMA engines.
  • Experience with GPU/TPU/xPU accelerator systems, high-bandwidth memory hierarchies, large-scale ML systems, and LLM training or inference.
  • Knowledge of computer and graphics architecture, microarchitecture, performance engineering, ARM processors, and AXI interconnects.
  • Experience coordinating with hardware, software, firmware, design, verification, simulation, emulation, and validation teams.

Nice to have

  • Experience with NVLink, UAL, InfiniBand, RDMA, CUDA, NVMe, NAND flash, or distributed training systems.
  • Expertise in transformer architectures, attention mechanisms, model parallelism, and GPU memory optimization.

Culture & Benefits

  • Full-time employee position with exempt status.
  • Medical, dental, vision, life, accident, disability, flexible spending, and health savings benefits.
  • Paid vacation and sick leave, tuition reimbursement, transit benefits, and an employee assistance program.
  • Eligibility for short-term incentives, long-term incentives, restricted stock units, employee stock purchase plans, and a 401(k) savings plan may apply.
  • Inclusive workplace with equal-opportunity and accessibility commitments.

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