AI芯片架构工程师-Data（上海）
Core
Design and explore AI training and inference chip architectures, including hardware-software co-design and SystemC modeling.
Role type
AI chip architecture engineer (data)
Builds
AI training and inference chips
Domain
Semiconductor / AI Hardware
Deliverable
production ML models
Required skills
AI hardware accelerator architecture, GPU architecture, AI model optimization, distributed training, C/C++, Python
Preferred skills
TCP/IP protocol stack, RDMA, TensorFlow, PyTorch, ISS, Cycle-Accurate Model
Responsibilities
Analyze key tasks and typical operators in AI model training workflows across different business scenarios.
Seniority
Mid-level, hands-on IC
Sourced via bytedance · Listed on CareerPlan, which tracks 853,000+ jobs from 20+ sources.