Senior GPU Architect for ML & AI Hardware

Bzpp; United States; On-site; USD 198,000 - 297,000; Full time

Job summary

Samsung Austin R&D Center (SARC) and ACL seek a Senior Staff GPU Architect, ML, to drive ML-driven GPU features for premium mobile GPUs. You will analyze workloads, optimize performance and power, and collaborate with hardware, software, and research teams to shape future AI-capable GPUs.

The role emphasizes production-ready designs, cross-functional teamwork, and staying ahead of ML trends to maximize PPA for AI workloads and gaming graphics.

Qualifications

• Bachelor's degree in CS/CE or related field with 11+ years experience, or 9+ years with Master's, or 7+ years with PhD.
• Knowledge of ML principles and architectures.
• Knowledge of computer vision, AR/VR, and Ray Tracing.
• Experience with workload analysis and performance optimization.
• Strong programming in C++, Python, or similar.
• Familiarity with ML frameworks such as TensorFlow, PyTorch.
• Ability to write clear technical specs.

Responsibilities

• Lead design and development of ML solutions for Samsung's premium mobile GPUs.
• Drive architectural innovation at intersection of GPU and ML to enable efficient AI model execution.
• Collaborate across hardware, software, and research to define new GPU features and analyze workloads.
• Deliver architectures that improve performance, power efficiency, and scalability for next-gen AI workloads.
• Translate ML insights into production-ready GPU designs and influence AI roadmap.

Skills

Machine learning

Computer vision

AR/VR

Ray Tracing

Performance optimization

Workload analysis

C++

Python

ML frameworks

Communication

Education

Bachelor's degree in Computer Science/Computer Engineering

Master's degree

PhD

Tools

TensorFlow

PyTorch

Job description

Samsung Austin R&D Center (SARC) and ACL seek a Senior Staff GPU Architect, ML, to drive ML-driven GPU features for premium mobile GPUs. You will analyze workloads, optimize performance and power, and collaborate with hardware, software, and research teams to shape future AI-capable GPUs.

The role emphasizes production-ready designs, cross-functional teamwork, and staying ahead of ML trends to maximize PPA for AI workloads and gaming graphics.