AI for Systems 算法工程师（北京/深圳/上海/杭州）-智能调度与性能优化
Core
Build AI-driven algorithms for performance modeling, resource scheduling, and optimization in AI training/inference systems to improve throughput, latency, and memory efficiency.
Role type
Senior IC AI Systems Algorithm Engineer (Performance & Scheduling)
Builds
Production scheduling algorithms and resource optimization solutions for AI infrastructure
Domain
AI Infrastructure / High-Performance Computing / Cloud Systems
Deliverable
production ML models
Required skills
Probability & statistics, Optimization methods (Operations Research, Heuristics), Machine Learning, Python, System performance modeling, Resource allocation, Experimental design
Preferred skills
Reinforcement Learning, Distributed computing, Simulation platforms
Technologies
Python, RL, OR solvers, Simulation frameworks
Responsibilities
Model throughput/latency/memory under various hardware and parallel configurations; Recommend optimal resource quantities and hardware types; Optimize scheduling strategies for elastic allocation and capacity pooling; Evaluate and deploy algorithms using simulation and live data.
