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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) (GPU software, AI): Design, develop, optimize, and validate software enabling AI capabilities across Intel products with an accent on GPU workloads, performance, power, scalability, and full-stack integration. Focus on workload simulation, debugging complex software, optimizing algorithms, and supporting pre-silicon architecture decisions.

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

Annual salary: $255,850–$361,200 USD.

Company

hirify.global is presented in the posting alongside Intel's Data Center Group, which develops AI and data-centric technology solutions for Intel products.

What you will do

  • Design, develop, and integrate software solutions that enable AI features across Intel products.
  • Optimize GPU AI workloads for performance, power, 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 Intel 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.
  • Expertise in GPU software architecture, design, and development.
  • Proficiency in Python, C++, and Java.
  • Strong expertise in artificial intelligence, 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 Intel architecture and AI hardware accelerators.
  • Passion for innovation in GPU technology and industry advancements.
  • Strong communication skills and ability to collaborate across multidisciplinary teams.
  • Track record of delivering impactful AI software solutions.

Culture & Benefits

  • Hybrid work model combining on-site and off-site work.
  • Competitive pay with stock bonuses.
  • Health, retirement, and vacation benefits.
  • The role is a Position of Trust and requires consent to and successful completion of an extended background investigation, subject to applicable law.

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