Position Details
About this role
This role involves defining and driving end-to-end AI system architecture for embedded and edge platforms, focusing on GPU/NPU microarchitecture, AI software stacks, and model deployment strategies.
Key Responsibilities
- Define AI system architecture
- Collaborate on silicon and platform roadmaps
- Optimize AI model deployment
- Guide HW-SW co-design strategies
- Influence cross-functional teams
Technical Overview
The technical environment includes GPU and NPU hardware design, AI software stacks, silicon capabilities, and system software integration for AI deployment.
Ideal Candidate
The ideal candidate is a senior AI systems architect with deep expertise in GPU and NPU microarchitecture, AI software stacks, and system-level design. They possess strong cross-functional influence skills and experience bridging silicon capabilities with AI deployment across embedded and edge platforms.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in GPU/NPU architecture, No experience with AI system architecture, Unable to operate at the intersection of silicon and AI software
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