AI芯片架构工程师（存算与AI） - 芯片研发
Core
Design high-efficiency AI chips based on in-memory computing architecture to break the 'memory wall' bottleneck and provide a high-efficiency computing base for AI large models.
Role type
Senior IC AI chip architecture engineer (in-memory computing)
Builds
In-memory computing AI accelerators and chips
Domain
Semiconductor / AI Hardware
Deliverable
production ML models
Required skills
AI chip architecture design, in-memory computing architecture, hardware-software interface design, instruction set definition, chip specification definition, performance evaluation, competitive analysis
Preferred skills
Problem-solving, technical understanding, communication, documentation
Technologies
In-memory computing, AI accelerators, Von Neumann architecture
Responsibilities
Analyze customer/market needs and evaluate AI chip/system performance; Design AI system architecture and in-memory computing accelerator interfaces; Define and optimize instruction sets and programming interfaces for storage cores and AI accelerators; Research and implement frontier technologies to improve compute and memory throughput; Define chip specifications and functional modules.
