GPU Software Engineer

About the role

Job Details:

Job Description: The Role and Impact As an AI Software Development Engineer, you will play a pivotal role in designing and developing cutting-edge software solutions that enable advanced Artificial Intelligence capabilities across Intel products. Working on a diverse range of AI technologies, you will contribute to developing, optimizing, and validating software spanning firmware, drivers, operating systems, middleware, frameworks, algorithms, and applications. Your expertise will directly impact the performance and functionality of Intel's AI solutions, unlocking innovative capabilities for customers and driving advancements in the AI domain.

Business group The role is part of Intel's Data Center Group (DCG), which focuses on delivering world-class technology solutions for data-centric industries. As a member of this team, you will contribute to advancing software architectures and AI technologies that empower Intel products to excel in diverse workloads and applications. DCG plays a central role in Intel's strategy, driving innovation and performance across critical computing environments.

Key Responsibilities - Design, develop, and integrate software solutions to enable AI features across Intel products. - Optimize GPU AI workloads for performance, power, and scalability, including benchmarks and simulations. - Collaborate with internal teams and external partners to understand requirements and deliver solutions across the software stack. - Validate, debug, and refine software to ensure 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.

Qualifications: Minimum Qualifications - Bachelor's degree in computer science, electrical engineering, or a related field with 12+ years of experience OR a Master's degree with 8+ years of experience OR a PhD with 6+ years of experience in GPU software development - Demonstrated expertise in GPU software architecture, design, and development. - Proficiency in programming languages such as Python, C++, and Java. - Strong expertise in Artificial Intelligence, machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch). - Strong understanding of graphics APIs and compute frameworks, such as DirectX, Vulkan, OpenGL, OpenCL, or CUDA. - Experience developing software across multiple levels of the stack, 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.

Preferred Qualifications - Familiarity with Intel 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.