Senior Engineer, GPU Modeling Architect

Requirements

• 2+ years of experience with a Bachelor's degree in Computer Science/Computer Engineering/relevant technical field, or a Master's degree.
• 2+ years of experience in experience in software design and architecture.
• Hands-on experience in C++ programming, including STL, in a Linux environment.
• Understanding of GPU/CPU or computer architecture and micro-architecture concepts.
• Experience using development tools such as revision control systems, debuggers, and make/cmake.
• Familiarity in hardware modeling.
• Experience with performance profiling and analysis.
• RTL verification experience is preferred.
• Strong analytical and problem-solving skills, with the ability to identify bottlenecks and proposing data-driven solutions.
• Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.
• Our Team

Benefits

Additional Information

Position Summary Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy - the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us! Role and Responsibilities As a Senior Engineer, GPU Modeling Architect, you will work on the design and development of high-performing functional models that shape next-generation Samsung GPUs. In this mid-to-senior individual contributor role, you will contribute to defining functional modeling of various blocks of the GPU pipeline that drive architectural exploration and design decisions. You bring expertise in GPU architecture, functional modeling, and performance validation, with a curiosity for translating complex architectural intent into efficient, scalable simulation environments. You are passionate about contributing to the design and development of cycle-approximate and functional models for key GPU pipeline blocks-capturing architectural and micro-architectural behaviors for design and verification. You enjoy learning about building high-quality models to enable advanced GPU development. You architect, implement, and validate C++/SystemC-based GPU models, ensuring accuracy, scalability, and integration across hardware and software environments. You ensure design excellence by working on model-based performance validation and correlation, identifying bottlenecks, and proposing architectural and micro-architectural optimizations to improve GPU performance, power efficiency, and functionality. You proactively seek cross-functional collaboration with architects, RTL designers, verification engineers, and software teams to align modeling behavior with design intent, debug system-level interactions, and support early design bring-up. You take initiatives on moderate-to-complex projects and help advance best practices, methodologies by staying ahead of industry trends and emerging technologies.

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Company Intel

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