Senior Staff Engineer, GPU Architect, Machine Learning
Core
Lead the design and development of innovative machine learning (ML) solutions for Samsung's premium mobile GPUs, driving architectural innovation at the intersection of GPU and ML design.
Role type
Senior Staff GPU Architect (Machine Learning)
Builds
Next-generation mobile GPUs with integrated ML capabilities for high-performance computing devices (mobile, automotive, custom segments)
Domain
Semiconductor hardware design, Machine Learning, Graphics Pipeline
Deliverable
production ML models
Required skills
GPU architecture design, Machine learning principles and architectures, Workload analysis and modeling, C++ and Python programming, LLMs and LVMs knowledge, Computer vision algorithms, Ray Tracing, Hardware-software integration
Preferred skills
Knowledge of TensorFlow and PyTorch, Experience with image classification, Ability to write technical specifications
Technologies
TensorFlow, PyTorch, C++, Python
Responsibilities
Define new GPU features for ML workloads, Analyze and model representative ML workloads to identify bottlenecks, Improve middleware and hardware-software integration, Collaborate with cross-functional teams to translate ML insights into production-ready designs, Advance best practices and methodologies for GPU architecture
Seniority
Senior Staff, hands-on IC
