微软职位内部推荐-SW Engineer II for Azure Network

微软正寻求一位软件工程师,加入Windows Azure数据中心网络虚拟化团队,负责设计并实施数据中心网络虚拟化解决方案。该职位要求候选人具备丰富的软件开发经验,特别是网络、分布式系统和虚拟化领域的专业知识。

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微软近期Open的职位:

Software Engineer II


The world is moving to cloud computing. Microsoft is betting Windows Azure as our cloud computing platform. Important steps have already been taken to virtualize storage and computing through software, increasing agility, asset utilization, and automated management, while shifting to scale-out, secure, and low cost infrastructure. The challenge now is to develop the software to virtualize the network, and to achieve corresponding gains.


Creating a new, virtualized network, optimized for the cloud, represents a once-in-ten-years technological shift. This shift is beginning. The time to be a part of it is now; in three years, the ship will have sailed. Join and become a member of the Windows Azure Data Center Network Virtualization (DNV) team to design and develop the solution. We face intense competition in this space from Amazon, Google and others, and investment in network virtualization is key for us to differentiate and win.


We are looking for a Software Engineer to design and implement Windows Azure’s software stack for data center network virtualization. The developer will work with a team of other software developers to design and implement datacenter network virtualization solutions that scale out and remove the fragmentation limitations of traditional datacenter networking solutions. The developer will participate in architecture and designs of various components that constitute this software based solution and ensure a timely execution of the components with high quality. &nbsp In this role you will be responsible for critical components of the network virtualization solution. This will include owning certain components from design, engaging with other teams to manage dependencies, implementation, to monitoring of the deployed service. This is a high visibility position in an area of large and expanding investment for Windows Azure and offers a terrific opportunity for technical and career growth.


We seek candidates with expertise in one or more of the following areas:

- &nbsp&nbsp&nbsp&nbsp Switching and routing protocols, transport protocols (TCP/UDP), security protocols (IPSEC, SSL)

- &nbsp&nbsp&nbsp&nbsp Windows internals (networking stack and other OS components); traffic and performance monitoring; protocol processing offloads and other performance enhancements; reliable, high quality software development; software integration;

- &nbsp&nbsp&nbsp&nbsp Virtualization (hypervisors; virtual machine switching); NDIS; performance optimization; network hardware capabilities - NICs, switches, routers;

- &nbsp&nbsp&nbsp&nbsp Network control planes; programmable networking; control plane, fault, and performance monitoring.

- &nbsp&nbsp&nbsp&nbsp Distributed systems, directories, distributed hash tables


The successful candidate will have:

• 5+ years of experience in software development is a must have

• 5+ years of professional development experience

• experience working in a networking and distributed systems environment

• Solid Design and Dev skills

• Experience shipping products or services

• Passion and drive for profound impact

• Systems programming experience

• BS or MS or PhD degree in Computer Science, or equivalent experiences


Microsoft is an equal opportunity employer and supports workforce diversity.

如果你想试试这个职位,请跟我联系,我是微软的员工,可以做内部推荐。发你的中英文简历到我的邮箱:Nicholas.lu.mail(at)gmail.com

内容概要:本文介绍了基于Python实现的SSA-GRU(麻雀搜索算法优化门控循环单元)时间序列预测项目。项目旨在通过结合SSA的全局搜索能力和GRU的时序信息处理能力,提升时间序列预测的精度和效率。文中详细描述了项目的背景、目标、挑战及解决方案,涵盖了从数据预处理到模型训练、优化及评估的全流程。SSA用于优化GRU的超参数,如隐藏层单元数、学习率等,以解决传统方法难以捕捉复杂非线性关系的问题。项目还提供了具体的代码示例,包括GRU模型的定义、训练和验证过程,以及SSA的种群初始化、迭代更新策略和适应度评估函数。; 适合人群:具备一定编程基础,特别是对时间序列预测和深度学习有一定了解的研究人员和技术开发者。; 使用场景及目标:①提高时间序列预测的精度和效率,适用于金融市场分析、气象预报、工业设备故障诊断等领域;②解决传统方法难以捕捉复杂非线性关系的问题;③通过自动化参数优化,减少人工干预,提升模型开发效率;④增强模型在不同数据集和未知环境中的泛化能力。; 阅读建议:由于项目涉及深度学习和智能优化算法的结合,建议读者在阅读过程中结合代码示例进行实践,理解SSA和GRU的工作原理及其在时间序列预测中的具体应用。同时,关注数据预处理、模型训练和优化的每个步骤,以确保对整个流程有全面的理解。
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