Senior GPU Architect Machine Learning

Position: Senior GPU Architect for Machine Learning
Lead the architectural innovation of machine learning solutions for Samsung's GPUs. This high-impact role focuses on improving AI model execution and scalability for next-generation mobile devices.

As a Senior Staff GPU Architect for Machine Learning at Samsung, you'll collaborate across hardware, software, and research teams. With a focus on cutting-edge innovations, you'll design ML-driven hardware enhancements that optimize performance for applications like computer vision and AR. This role will allow you to directly impact Samsung's premium mobile GPU architecture.

Key Responsibilities:

• Architect and define ML hardware features for GPUs

• Analyze ML workloads to uncover optimization opportunities

• Collaborate with teams for production-ready GPU designs

• Drive design excellence in middleware and integration

• Influence the long-term AI architecture roadmap

Requirements:

• 11+ years with a Bachelor's or 9+ years with a Master's

• Knowledge of ML principles and architectures

• Expertise in C++, Python, or similar programming languages

• Familiarity with Tensor Flow, PyTorch, LLMs, and LVMs

• Strong analytical and problem-solving skills

Advance GPU performance and enhance mobile technologies with Samsung's GPU Architect team.
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