Lead AI System Architect (GPU/NPU) for Edge & Embedded

Advanced Micro Devices; Austin (TX); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Benefits at a glance

Job summary

Advanced Micro Devices is seeking an AI Architect to define end-to-end AI system architecture for embedded and edge platforms in Austin or San Jose. You will own hardware-software co-design, model optimization, and lifecycle management across robotics, automotive, and industrial markets.

The role requires deep expertise in GPU/NPU architectures, hands-on AI model work, and experience translating complex requirements into scalable platform solutions.

Qualifications

• Deep expertise in GPU/NPU architecture.
• Hands-on experience with AI models and inference pipelines.
• Experience with embedded/edge AI systems.

Responsibilities

• Define and optimize GPU/NPU architectures for embedded AI.
• Lead AI software stacks, compilers, and runtime integration for edge deployments.
• Guide HW-SW co-design and model optimization across domains.

Skills

GPU architecture

NPU architecture

AI model understanding

Embedded/edge AI

Hardware-aware optimization

Cross-functional leadership

Education

Bachelor’s or Master’s in CS/CE/EE

Tools

PyTorch

ONNX

TensorRT‑like runtimes

Job description

Advanced Micro Devices is seeking an AI Architect to define end-to-end AI system architecture for embedded and edge platforms in Austin or San Jose. You will own hardware-software co-design, model optimization, and lifecycle management across robotics, automotive, and industrial markets.

The role requires deep expertise in GPU/NPU architectures, hands-on AI model work, and experience translating complex requirements into scalable platform solutions.