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Open nowPosted 121 days ago

软件质量专家

anker-in/experiencedhireen167 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now软件质量专家anker-in/experiencedhireen · Shenzhen, Guangdong, Chinese Mainland
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  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 121 days ago

The posting

1. 软件可靠性方法论建设:构建软件可靠性设计与评估的完整框架,覆盖软件可靠性建模、软件 FMEA、代码质量分析、软件测试可靠性; 2. AI 规则定义:将软件可靠性分析方法拆解为 AI 规则,定义软件 DFMEA 中软件失效模式(逻辑错误、时序错误、资源泄漏、并发冲突等)的 AI 识别逻辑; 3. AI 代码审查规则建设:定义 AI 静态代码扫描规则,覆盖安全漏洞、编码规范、性能瓶颈、可靠性风险等多维度; 4. AI 测试用例生成:定义 AI 测试用例生成规则,覆盖单元测试、集成测试、系统测试的自动化生成逻辑; 5. 软件质量工具链建设:搭建软件质量工具链(含静态分析、动态分析、模糊测试、混沌工程),嵌入 CI/CD 流水线实现质量左移; 6. 软件质量赋能:针对安克 IoT 产品软件缺陷 100% 转化为硬件客诉的特点,建立嵌入式软件可靠性专项方法论,赋能各 BG 研发团队,推动软件质量能力在各 BG 落地。

1. 学历:硕士及以上学历,软件工程、计算机科学或相关专业; 2. 经验:8 年以上软件质量/可靠性工程经验,其中 3 年以上软件质量方法论或质量工具链建设经验,有嵌入式/IoT 软件质量经验者优先; 3. 专业技能:精通软件可靠性建模与预计(MIL-HDBK-217F 软件部分、IEC 61508 软件可靠性);精通软件 FMEA 分析方法;精通静态代码分析工具(SonarQube、Coverity、Klocwork 等)和规则定制;精通软件测试方法(单元测试、集成测试、系统测试、模糊测试);熟悉 CI/CD 流水线质量门禁设计;熟悉嵌入式软件质量特性(实时性、确定性、资源约束); 4. AI 素养:了解 AI/ML 基本原理,能够将软件质量方法论转化为 AI 可执行的规则; 5. 软性能力:认同平台化和工作左移理念,不依赖人海战术;优秀的跨职能协同能力(与研发、硬件、质量团队紧密协作)

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