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3 дня назад

GPU Software Engineer (AI)

255 850 - 361 200$
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
GPU Software Engineer (AI): Designing, developing, and optimizing software that enables AI capabilities across Intel GPU products with an accent on GPU workloads, performance, power, scalability, and full-stack software integration. Focus on workload simulation, pre-silicon architecture recommendations, complex debugging, validation, and deep learning framework support.

Location: Hybrid, US, California, Folsom; employees split time between the assigned hirify.global site and off-site work.

Salary: Annual salary range of $255,850–$361,200 USD for US roles.

Company

hirify.global develops computing and AI technologies for data-centric industries through its Data Center Group and other product organizations.

What you will do

  • Design, develop, and integrate software enabling AI features across hirify.global products.
  • Optimize GPU AI workloads for performance, power efficiency, and scalability using benchmarks and simulations.
  • Collaborate with internal teams and external partners to define requirements and deliver solutions across the software stack.
  • Validate, debug, and refine software for functionality and compatibility with AI-driven applications.
  • Develop and enhance reference software to maximize customer value from hirify.global AI products.
  • Support pre-silicon architecture recommendations through workload simulation and analysis.

Requirements

  • Bachelor’s degree in computer science, electrical engineering, or a related field with 12+ years of GPU software development experience; or a master’s degree with 8+ years; or a PhD with 6+ years.
  • Demonstrated expertise in GPU software architecture, design, and development.
  • Proficiency in Python, C++, and Java.
  • Strong expertise in artificial hirify.globalligence, machine learning, and deep learning frameworks such as TensorFlow and PyTorch.
  • Strong understanding of graphics APIs and compute frameworks, including DirectX, Vulkan, OpenGL, OpenCL, or CUDA.
  • Experience developing software across multiple stack levels, including drivers, firmware, and application layers.
  • Advanced knowledge of algorithms, data structures, and optimization techniques.
  • Proven ability to debug complex software issues and conduct thorough validation.

Nice to have

  • Familiarity with hirify.global architecture and AI hardware accelerators.
  • Passion for driving innovation in GPU technology and contributing to industry advancements.
  • Strong communication skills and ability to collaborate across multidisciplinary teams.
  • Track record of delivering impactful software solutions in the AI space.

Culture & Benefits

  • Hybrid work model combining on-site and off-site work.
  • Competitive pay, stock bonuses, health benefits, retirement benefits, and vacation.
  • Employment is subject to an extended background investigation for this Position of Trust.
  • Equal employment consideration is provided in accordance with applicable local laws and regulations.

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