【Job Board】Cloud Native Engineer

bluetata
领域专家: 云计算技术领域
2023-02-16 14:48:56

Requirements

Practitioner level requirements

  • Experience in the development of cloud-based, serverless or microservices applications
  • Good knowledge of Docker and Kubernetes on public cloud
  • Basic knowledge of tools such as Terraform, Packer or other vendor-specific IaC
  • Experience with Linux server administration
  • Experience in CI/CD pipeline development with major tools such as CircleCI, Travis , Jenkins, Gitlab, Github
  • Solid knowledge of git, including major branching model
  • Fluent in written and spoken Italian

Professional level additional requirements

  • Advanced knowledge of Kubenetes and its APIs
  • Good knowledge at least one scripting language
  • Experience in designing cloud-based, serverless or microservices applications
  • Advanced experience with tools such as Terraform, Packer or other vendor-specific IaC
  • Good knowledge of Linux and its network stacks

Architect level additional requirements

  • Advanced knowledge of Kubernetes and its APIs and CRD custom development
  • In-depth knowledge at least one language between Go, Python and server-side Javascript
  • Advanced knowledge of Linux and network stacks (IPVS, eBPF, BGP)
  • Proven experience on enterprise projects and solid knowledge of SRE procedures
  • Ability to design and realize different testing strategies and architectures, even on distributed platforms

Preferential qualifications

  • Experience in the design of distributed systems
  • Experience as software architect and/or tech-lead on a medium/long-term real project
  • Experience in the design of REST interfaces and/or systems distributed with gRPC
  • Certified experience or training on agile processes
  • Contributions to free/open-source projects
  • Experience as a speaker or volunteer in the organization of cons and events
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内容概要:本研究聚焦于内置式永磁同步电机(IPMSM)在全速域范围内的最优电流轨迹规划与控制策略优化,提出了一种计及电压与电流双重约束的MTPA(最大转矩电流比)与弱磁控制融合方法。通过Simulink搭建仿真模型,系统分析了电机在不同转速区间下的运行特性,建立了精确的电机数学模型,并综合考虑了电压极限椭圆与电流极限圆的约束条件,实现了全速域内电流矢量的最优分配。研究设计了基于电压饱和判据的分区切换逻辑,确保MTPA控制与弱磁控制间的平滑过渡,解决了传统控制模式在高速区易出现的失稳与效率下降问题,最终在仿真平台上验证了所提控制策略在提升电机效率、扩大调速范围和增强动态响应方面的优越性; 适合人群:具备电机控制或电力电子领域基础知识的研究生、科研人员及电气工程相关专业的高年级本科生; 使用场景及目标:①研究IPMSM在全速域范围内的高效运行控制;②设计并仿真验证MTPA与弱磁控制的融合策略;③分析电压与电流双重约束对电机性能的影响; 阅读建议:此资源以Simulink仿真实现为核心,建议读者在学习过程中结合电机学、电力电子及自动控制理论,深入理解控制算法的设计逻辑,并动手复现仿真模型,通过调整参数观察系统响应,以加深对理论知识与工程实践结合的理解。

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