AI训推系统研发工程师
Core
Design and innovate AI training/inference system architectures and frameworks for large models (Agent, LLM, multimodal, generative recommendation, spatial intelligence), focusing on operator acceleration, system optimization, and hardware-software co-design.
Role type
Senior IC AI system architecture and optimization engineer
Builds
Next-generation AI training/inference frameworks, optimized operators, and high-performance computing clusters
Domain
Artificial Intelligence / High-Performance Computing / Distributed Systems
Deliverable
production ML models
Required skills
Large model training and inference, operator acceleration, distributed system design, high-performance computing, network protocol design, hardware-software co-design, system optimization, research and prototyping
Preferred skills
Computer architecture, computer networks, data center networking, collective communication, load balancing, QoS, open-source community contribution
Technologies
Pre-training, RL fine-tuning, Agentic AI, inference engines, service-oriented architecture, high-performance operators
Responsibilities
Lead innovation in system architecture for large model training and inference; design and research训推 frameworks and operator acceleration; optimize AI training/inference systems via hardware-software co-design; track and integrate latest research trends in AI computing clusters
Seniority
Senior, hands-on IC
