大模型系统工程师
Core
Lead innovation and engineering for large model training, inference, RL systems, operators, and compute systems to drive product commercialization.
Role type
Senior IC large model systems engineer (training/inference/RL)
Builds
Next-generation training/inference systems and AI compute clusters
Domain
AI/ML systems, distributed computing, high-performance computing
Deliverable
production ML models
Required skills
Large model architecture, AI frameworks, AI systems, compute hardware systems, distributed computing and storage systems, parallel software development, training/inference system optimization, operator optimization, compute high availability
Preferred skills
Language/multimodal/Agent/spatial intelligence model training and inference, joint innovation of AI model algorithms and compute systems, hardware-software co-design
Technologies
AI frameworks, distributed computing frameworks, compute hardware
Responsibilities
Lead key technical innovation in large model training/inference/RL systems and operators; Design and develop training/inference frameworks and acceleration features; Optimize training/inference systems via hardware-software co-design; Engineer and scale advanced research results into production training/inference scenarios
