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2 дня назад

Principal Software Engineer, Performance Analysis and Modeling (AI)

175 000 - 285 000$
Формат работы
remote (только USA)/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
Principal Software Engineer, Performance Analysis and Modeling (AI): Building analytical performance models and architecture simulators for AI inference accelerators, emerging hardware technologies, and generative AI workloads with an accent on computer architecture, HW/SW co-design, and ML performance analysis. Focus on modeling current and future silicon, analyzing multimodal LLM and generative workloads, and identifying hardware/software improvements across compiler, inference server, kernel, and hardware teams.

Location: Hybrid onsite at the Santa Clara, California headquarters three days per week; remote work considered within the United States.

Salary: $175,000–$285,000 per year, plus equity and bonus opportunities.

Company

hirify.global develops software and hardware innovations that use generative AI and AI inference accelerators to transform technology.

What you will do

  • Analyze ML workloads, multimodal LLMs, chain-of-thought reasoning models, and video/audio generation for performance-relevant properties.
  • Build and maintain analytical performance models for current and future hirify.global hardware generations.
  • Develop and extend architecture simulators for proposed hardware and software features.
  • Collaborate with hardware design, compiler, inference server, kernel, and product teams to validate assumptions and identify downstream implications.
  • Track ML architecture and algorithm research and incorporate relevant findings into modeling work.
  • Recommend hardware/software improvements and document modeling methodologies and findings.

Requirements

  • BSEE with 6+ years of industry experience or MSEE with 4+ years of industry experience.
  • Working knowledge of computer architecture, hardware/software co-design, performance modeling, and ML fundamentals, particularly DNNs.
  • Programming fluency in C/C++ or Python.
  • Experience building or using analytical performance models or architecture simulators.
  • Self-motivated, collaborative, and comfortable working across hardware and software teams.

Nice to have

  • Experience optimizing AI/ML workloads on accelerator technologies.
  • Research or investigation experience in AI/ML architecture or microarchitecture.

Culture & Benefits

  • Collaborative and inclusive environment centered on respect, humility, and direct communication.
  • Medical, dental, and vision coverage.
  • 401(k) benefits and an inclusive rewards plan supporting employee wellbeing.
  • Additional incentive opportunities based on individual and company performance.

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