AI Infra研究工程师
Core
Research and innovate key technologies and compute system architectures for training and inference of large models (Agents, LLMs, multimodal, generative recommendation, spatial intelligence) to drive commercial value.
Role type
Senior IC AI Infrastructure Research Engineer
Builds
Next-generation training/inference frameworks, acceleration features, and compute systems for large models
Domain
AI Infrastructure / Large Language Models / Distributed Systems
Deliverable
production ML models
Required skills
Large model architecture, AI frameworks, distributed computing and storage systems, parallel software development, hardware-software co-design, system optimization
Preferred skills
Top-tier conference publications (NeurIPS, ICML, ISCA, OSDI, etc.), top research institution experience, high-level competition awards, open-source contributions
Technologies
Pre-training, RLHF, Agentic AI, inference engines, service-oriented architectures
Responsibilities
Design and research next-gen training/inference frameworks and acceleration features; Lead joint innovation of AI algorithms and compute systems; Optimize compute clusters for training and inference; Participate in industry top conferences and open-source communities
Seniority
Senior, hands-on IC with research leadership
