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2 дня назад

Architect

175 000 - 275 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Релокация
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
Architect (Inference Hardware): Develop performance models and analyze deep learning workloads on hardware accelerators with an accent on hardware/software co-optimization and architectural decision-making. Focus on profiling, regression validation, and driving next-generation architecture design for inference-focused AI systems.

Location

Location: San Jose, United States (On-site)

Salary

$175K – $275K per year plus significant equity

Company

hirify.global builds hardware for frontier intelligence, co-designing chips, racks, software, and manufacturing to optimize throughput and latency for inference workloads in AI.

What you will do

  • Develop comprehensive performance models and projections for architecture across workloads and configurations
  • Profile and analyze deep learning workloads on hardware to identify bottlenecks and optimization opportunities
  • Drive hardware/software co-optimization by leveraging architectural features
  • Run regressions and validate performance models against real systems and silicon
  • Inform next-generation architectural decisions during design and proof-of-concept phases

Requirements

  • Must be located in or willing to relocate to San Jose, United States
  • Strong performance modeling and analysis skills with experience in analytical or simulation-based models
  • Solid understanding of computer architecture and micro-architecture, especially for accelerators
  • Experience profiling deep learning workloads on hardware accelerators (GPUs, TPUs, ASICs, FPGAs)
  • Strong software engineering fundamentals focused on auditability and maintainability

Nice to have

  • Deep knowledge of GPU architectures and CUDA programming
  • Experience with multi-chip inference systems
  • Familiarity with transformer architectures and inference optimizations
  • Experience with architecture simulators and performance modeling tools (gem5, trace-driven simulators)
  • Exposure to ASIC, FPGA, or CGRA accelerator development and hardware/software co-design
  • Published research in computer architecture, ML systems, or hardware acceleration

Culture & Benefits

  • Medical, dental, and vision insurance with generous premium coverage
  • $500 monthly credit for waiving medical benefits
  • $2,000 monthly housing subsidy for living near the office
  • Relocation support to San Jose (Santana Row)
  • Wellness benefits including fitness and mental health
  • Daily lunch and dinner provided in office
  • Unlimited compute budget subject to ROI justification

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