Senior GPU Architect – ML for Next‑Gen Mobile AI

Samsung Electronics America; San Jose (CA); On-site; USD 198,000 - 297,000; Full time

Job summary

Samsung Electronics America, Inc. seeks a Senior Staff GPU Architect – Machine Learning to lead ML-driven architecture for next-generation mobile GPUs.

You will collaborate with hardware, software and research teams to drive innovations that improve performance, power efficiency, and scalability for AI workloads. You will analyze ML workloads, identify bottlenecks, and guide trade-offs to maximize PPA while delivering production-ready GPU features and extensions that integrate with the graphics

Qualifications

• Experience with ML principles and architectures.
• Knowledge of computer vision algorithms and AR/VR.
• Experience with GPU architecture and graphics pipeline.
• Strong programming skills in C++ and Python.
• Familiarity with LLMs, LVMs, and image classification.

Responsibilities

• Lead design and development of ML-driven GPU features for next‑gen mobile GPUs.
• Collaborate across hardware, software and research to optimize performance, power and scalability.
• Translate ML insights into production GPU designs and influence AI architecture roadmaps.

Skills

ML principles

Computer vision

GPU architecture

C++/Python

LLMs/LVMs

Graphics pipeline

Performance optimization

Workload modeling

Education

Bachelor's/Master's/PhD in CS/CE

Tools

TensorFlow

PyTorch

Job description

Samsung Electronics America, Inc. seeks a Senior Staff GPU Architect – Machine Learning to lead ML-driven architecture for next-generation mobile GPUs.

You will collaborate with hardware, software and research teams to drive innovations that improve performance, power efficiency, and scalability for AI workloads. You will analyze ML workloads, identify bottlenecks, and guide trade-offs to maximize PPA while delivering production-ready GPU features and extensions that integrate with the graphics