端侧 AI 部署与应用工程师 (2026届校招)北京校招正式智能制造 / 工业互联网 / 工业自动化 - 研发职位描述你将加入我们的核心研发团队，基于Qualcomm计算平台，打通从 AI 模型到端侧应用落地的“最后一公里”。我们需要你不仅懂算法原理，更能通过扎实的工程能力，构建高性能的 AI Agent 与推理系统。1. 模型转换与性能调优 (Model Engineering):使用 Linux 环境下的工具链，将 PyTorch/TensorFlow 训练模型转换为专用格式（DLC/QNN context）。编写 Shell/Python 脚本 实现模型转换、量化（Int8/FP16）及精度验证的自动化流程。分析模型在 Hexagon DSP/NPU 上的性能瓶颈，进行算子优化和推理加速。2. 端侧 AI 系统开发 (System Integration):基于 Android/Linux 系统，使用
Key responsibilities 重要职责 Product Supply and Demand Management: Lead end-to-end product supply planning, risk assessment and mitigation plan to balance supply and demand, as well as execution of Sale & Operations Execution (S&OE) process. Product Project
Key responsibilities CMC Regulatory Strategy and Change Management Manufacturing and Testing Practice (MTP) Establishment CMC Technical Assessment and Regulatory Support Submission and Approval of Marketed Product Maintenance Regulatory Compliance and System Regulatory Policy Influence and Advocacy
Key responsibilities 重要职责 Study Start-up & Submission Execution: Lead, coordinate and manage execution of start-up activities and regulatory submissions for assigned trials Productivity Oversight: Provide local regulatory insights and support continuous improvement and innovation initiatives related