理想汽车Power Module Simulation Design Expert
任职要求
Education/Experience：
1. Bachelor degree or above, majoring in Material science, Microelectronics, Mechanical engineering, Electrical engineering, Power electronics or other related fields.
2. Above 10 years’ experience in power semiconductor product development, and at least 5 years of experience in power module thermal simulation, stress & reliability simulation, electrical simulation and mold flow simulation;
Knowledge：
1. Possess a solid theoretical foundation for the microstructure, basic working principles, common failure modes and power electronic circuits of power semiconductor devices such as Si, SiC and GaN;
2. Familiar with the pow…工作职责
1. Responsible for the development of power module electromagnetic and circuit models include Spice model, optimizing power module electrical design, chip selection, and solving difficult problems such as oscillation, current sharing, crosstalk, and circulation current; 2. Responsible for the thermal resistance simulation, flow resistance simulation and various working condition temperature simulations of the power module, and optimizing the thermal design of the power module, completing the development of the electrothermal coupling simulation model of the power module; 3. Leading the power module packaging process simulation such as warpage, thermal mechanical stress, mold flow simulation, optimizing power module design, tooling fixture solution and key process parameters; 4. Aim to find root cause for power module reliability issues using simulation method, and complete lifetime assessment model and DFR for power modules; 5. Leading the continuous optimization of the power module simulation platform, defining a fast, robust, and automated simulation workflow, improving model accuracy based on experimental results, and realizing product virtual design and digital engineering; 6. Responsible for tracking cutting-edge simulation theories and methods for power modules, and using AI and big data methods to accelerate power module design and process development.
Headquartered in Singapore, Ant International powers the future of global commerce with digital innovation for everyone and every business to thrive. In close collaboration with partners, we support merchants of all sizes worldwide to realize their growth aspirations through a comprehensive range of tech-driven digital payment and financial services solutions. We are seeking for Java Software Engineers for our Malaysia Tech Center, work on end-to-end solutions for cross-border payments for our global merchants and globalization business. Key Responsibilities: 1. Design solutions involving integration with multiple systems and services. 2. Develop high volume, high performance, low latency and reliable mission critical applications. 3. Write maintainable, robust, and testable code. 4. Perform code and test case review. 5. Implement processes, solutions or tools to improve software delivery and quality. 6. Able to adopt latest software development trends and industry best practices.
1、负责商品流量分发策略&广告投放平台功能优化的相关分析，和产品、推荐算法团队紧密合作，针对不同商品的流量提升诉求帮助业务设计策略并通过A/B评估实验效果，借助实验帮助平台和业务进行快速迭代优化 2、熟悉电商平台的广告投放环节，熟悉电商APP的场域，知晓场域流量特性 3、理解业务，搭建数据分析系统、报表看板，输出可视化报告； 4、跟踪业务数据，监控数据波动和异常，通过数据分析发现业务问题和机会点，并能提出有效的解决策略
竞对数据收集与分析 1. 持续跟踪供应链、物流及行业上游领域的竞争对手动态，包括市场策略、产品布局、成本结构、合作伙伴关系等。 收集并整理行业政策、技术趋势、价格波动等信息，建立竞对数据库。 深度分析与报告输出 2. 定期输出竞对分析报告，揭示行业竞争格局、关键成功因素及潜在风险，为公司战略决策提供依据。 针对供应链效率、物流网络布局、供应商管理等专项课题开展研究，提出优化建议。 供应链与物流行业研究 3. 分析行业上游的市场容量、供需关系及成本驱动因素。 关注物流技术及供应链创新模式（如柔性供应链、绿色物流）的最新动态。 支持跨部门协作 4. 协同供应链、采购、物流等部门，提供竞对数据支持，协助制定降本增效方案。 参与行业会议、展会等，拓展信息获取渠道。
• Monitor transactional data to identify suspicious patterns, emerging fraud trends and anomalies. • Design and maintain fraud detection dashboards, models, and rules using statistical and machine learning techniques. • Collaborate with product, engineering, and compliance teams to implement and fine-tune fraud detection. • Conduct root cause analyses on fraud incidents and provide actionable insights. • Develop reporting frameworks to communicate fraud trends, risk metrics, and investigation outcomes to stakeholders. • Continuously refine detection logic based on feedback and fraud evolution. • Support incident response teams in investigating and responding to fraud alerts. • Stay current with industry best practices and evolving fraud tactics.