芯片研发质量工程师（存算与AI） - 芯片研发
Core
Build and manage a quality assurance system for the full chip R&D lifecycle, focusing on in-memory computing chips for AI large models.
Role type
Senior IC chip R&D quality engineer (in-memory computing/AI)
Builds
High-efficiency AI chips based on in-memory computing architecture
Domain
Semiconductor / AI hardware
Deliverable
production ML models
Required skills
Chip R&D quality system design (IPD), DFMEA, 8D analysis, risk identification, data analysis, cross-team collaboration
Preferred skills
Software stack quality control (drivers, compilers, inference frameworks), project management
Technologies
DFMEA, 8D, IPD
Responsibilities
Establish chip R&D quality standards and process norms; Participate in design and test reviews to identify risks; Investigate major quality issues and implement corrective actions; Analyze quality data to optimize processes; Collaborate with algorithm, frontend, backend, and test teams.
Seniority
Senior, hands-on IC
