Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$256к-361к/год
$210к$240кмедиана$270к
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Чётко описанная senior-позиция в GPU и AI в Intel предлагает современную техническую специализацию и зарплату выше рыночного ориентира, но высокий порог по опыту и несоответствие в названии компании снижают доверие к публикации.
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Путаница с компаниейВысокий порогСовременный стекВыше рынкаГибридный формат
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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