本溪QA质量工程师
QA质量工程师是负责质量管理体系的建立和维护,确保产品和服务符合质量标准和客户需求的专业人士。他们负责制定和执行质量保证计划、开展产品质量评估和测试,并及时解决质量问题,以确保产品和服务的持续改进和满足客户期望。他们与跨职能团队合作,制定和优化质量控制流程,并对生产过程进行监控和管理。同时,他们也负责审核和评估现有的质量体系,提出改进建议并指导实施。他们通过建立可靠的质量管理体系,为企业提供了确保产品和服务质量的保障,提升了企业的竞争力和信誉。
薪酬概览
平均月薪
¥4200
中位数 ¥0 | 区间 ¥3400 - ¥5000
数据来源:样本数量过少,仅供参考;更新时间:2026年7月13日
月薪分布
100% 人群薪酬落在 0-8k

三大影响薪酬的核心维度
影响薪资的核心维度1:工作年限
影响薪资的核心维度2:学历背景
市场需求
11月新增岗位
20
对比上月:岗位新增19
数据由各大平台公开数据统计分析而来,仅供参考。
岗位需求趋势
不同经验岗位需求情况
| 工作年限 | 月度新增职位数 | 职位占比数 |
|---|---|---|
| 1-3年 | 8 | 50% |
| 3-5年 | 4 | 25% |
| 不限经验 | 4 | 25% |
热招职位
1. 新品开发质量风险管控
-水果制品源头质量控制,深入水果种植基地及代工厂,监督原料采收、加工全流程,了解产季半成品的理化等信息,确保符合食品安全标准(如HACCP、ISO22000)及企业内控要求;
-参与新品中试或首产跟产,协同研发部门完成新品类工艺验证,确保量产可行性。
2. 供应商生产现场过程监管与协作
-在受托加工厂(OEM)现场,依据良好生产规范(GMP)、HACCP等标准,对果汁、果酱等原料的生产全流程(从投料到灌装、包装)进行实时质量监督与巡检。对原辅材料、半成品及成品进行定期抽样与验证,确保产品质量符合标准;
-主导或参与生产偏差、不合格品及客户投诉的调查与分析,跟踪隔离品处理及纠正预防措施的有效落实;
3. 供应商质量能力帮扶和提升
- 跟踪供应商质量改善效果,持续推动供应商质量提升计划的有效落地;
- 定期协助工厂质量培训,提升一线操作规范性;
工作地点:长期驻代工厂(需适应产地差旅)
Core Objective: Translate annual transportation goals into actionable monthly strategies, execute plans, conduct regular performance reviews, and lead the team to achieve core business KPIs.Resource & Vendor Management: Leverage local resources to mobilize vendor support and enhance operational collaboration.Fleet & Distribution Expertise: Possess deep understanding of urban distribution, with proven experience managing fleets of 100+ vehicles daily.Cost & Talent Optimization: Demonstrate expertise in transportation cost reduction, driver management, and professional training.
System QA – DBW/底盘 方向
岗位职责:
参与L2+/L4车型线控/底盘软硬件研发验证;参与DBW/底盘车型线控功能的需求澄清,输出相关测试用例,执行测试并开发自动化测试;参与DBW控制设备控制功能逻辑的需求澄清,输出测试用例,执行测试并开发自动化测试;参与车辆相关SIL/HIL/VIL 需求澄清,输出测试用例,执行测试并开发自动化测试;岗位要求:
本科以上学历,电子、计算机、自动化、车辆等相关专业;掌握CAPL,Python,C/C++等编程语言;熟练掌握Matlab,Simulink软件,熟悉MBD建模思想。对嵌入式有一定了解。对整车线控原理及系统设计了解。熟练掌握CANOE软件,能通过CAPL编写自动化测试用例。了解自动驾驶软件框架及ROS中间件。熟悉ISO 15765,ISO 13400,ISO 14229等车载诊断,功能安全等协议者优先;有SIL,HIL,VIL开发验证经验者优先;较好的团队协作和沟通能力;有较强的主观能动性, 要能发现并解决问题,能适应敏捷开发工作的风格。
【2027届实习】算法测试QA实习生(2027届-可转正)-环卫车事业部-广州
【2027届】算法测试QA实习生(2027届-可转正)-环卫车事业部-广州
工作职责:
1、参与系统测试与验证:协助完成环卫车系统的功能测试、性能验证及场景评估,参与仿真测试与软件在环验证,学习并输出测试分析报告;
2、支持问题分析与优化:在指导下分析仿真及实车测试数据,协助定位系统问题,推动算法迭代优化;
3、参与测试工具开发:学习并使用自动化测试工具,辅助开发脚本提升测试与数据处理效率;
4、辅助标准与流程建设:参与自动驾驶相关评价体系的测试验证,支持系统合规性迭代。
任职要求:
1、本科及以上学历在校生,通信、电子工程、自动化、车辆工程、计算机等相关专业;
2、对智能驾驶、机器人或物流系统感兴趣,有相关项目或实习经验者优先;
3、具备以下一项或多项能力:
熟悉Python/C++等语言,有基础脚本编写能力;
了解Linux操作系统及常用命令,掌握Git基本使用;
对软件测试流程有基本认知,具备逻辑分析和问题定位意识;
具备良好的学习能力和团队协作精神,能快速适应技术环境。
能连续实习6个月以上优先
- Responsible for product experience operations, including establishing product experience mechanism standards, building an experience metrics system, and enhancing experience operation capabilities.
- Monitor data trends and anomalies to proactively identify product quality issues, user experience gaps, or system inefficiencies.
- Establish a data monitoring mechanism, perform daily data extraction, analysis, and visualization using tools such as SQL to identify operational bottlenecks and risk points.
- Build strong collaborative working mechanisms with business teams and establish an effective closed-loop process with internal service teams to jointly improve operational outcomes.
任职资格
- Educational Background: Full-time bachelor's degree or higher.
- Work Experience: Over 3 years of experience in data analysis, data product management, or data engineering. Experience in SQL is needed.
- Professional Skills: Strong understanding of data architecture and quality assurance processes; excellent data mining, analysis, and visualization skills; experience in defining and managing KPIs for AI service or digital products.
- Soft Skills: Excellent communication, execution, and cross-team collaboration skills; strong problem-solving and logical thinking abilities.
- Language Skills: Proficiency in written and spoken English.
- Preferred Qualifications: Project management experience is a plus.
- AI Quality Assessment Framework & Standards
- Establish and maintain quality evaluation criteria for LLMs, covering accuracy, safety, compliance, and instruction-following capabilities.
- Design evaluation workflows combining automation and human-in-the-loop assessment to quantify model performance regularly.
- End-to-End Quality Control & Risk Management
- Own regression testing and acceptance testing for model iterations, enforcing quality gates to prevent performance degradation before launch.
- Monitor online performance to mine for badcases, identifying model hallucinations, logic errors, or experience defects, and issue timely risk alerts.
- Issue-Driven Improvement & Closed-Loop Management
- Lead Root Cause Analysis for quality issues, precisely diagnosing whether failures stem from data, prompts, or model architecture.
- Drive algorithm, product, and operations teams to resolve quality defects, track the fix rate and conduct re-validation to ensure a closed-loop process.
- Cross-functional Collaboration
- Bridge the gap between business needs and technical implementation, ensuring the AI delivers real value to users.
任职资格
- Educational Background: Full-time bachelor's degree or higher.
- Work Experience: 3+ years of experience in internet product operations. Hands-on experience in LLM/AIGC product operations is highly preferred.
- Professional Skills:
- Mastery of AI evaluation methodologies (e.g., Golden Dataset construction, Human Evaluation SOPs).
- Sharp eye for detail ("bug hunting" mindset) with the ability to mine potential risks from massive data.
- Familiarity with Prompt Engineering to reproduce or verify issues (focus on validation rather than daily maintenance).
- Soft Skills: Strong cross-functional communication skills; ability to use data to influence and drive cross-functional partners to solve complex problems.
- Language Skills: Proficiency in written and spoken English.
- Preferred Qualifications: Project management experience is a plus.
Core Objective: Translate annual transportation goals into actionable monthly strategies, execute plans, conduct regular performance reviews, and lead the team to achieve core business KPIs.Resource & Vendor Management: Leverage local resources to mobilize vendor support and enhance operational collaboration.Fleet & Distribution Expertise: Possess deep understanding of urban distribution, with proven experience managing fleets of 100+ vehicles daily.Cost & Talent Optimization: Demonstrate expertise in transportation cost reduction, driver management, and professional training.
职位介绍
岗位职责:
1.落实各项研发体系质量管理制度,确保研发活动符合GLP/GMP/ICH等法规要求以及公司的研发质量管理规章制度;
2.起草和完善研发质量管理文件,完成培训并监督执行,包括但不限于变更、偏差、研发过程的风险评估、技术转移等;
3.负责对中试生产和研发各个环节开展必要的质量监控工作,确保产生的各项数据真实、完整、可追溯;
4.开展与研发实际需求相适应的验证、确认、校验校准管理工作;
5.审核产品质量标准和工艺规程类质量文件,监督临床试验用药品的生产和包装;
6.协助研发团队应对国内外监管机构的现场核查和注册申报(如NMPA、FDA、EMA);
7.对研发外包服务(如CRO、CDMO)和物料供应商进行质量评估和审计,确保合作方符合质量要求。
岗位要求:
1.药学、化学、生物或医学相关专业,本科及以上学历;
2.具备临床QA经验、或两年及以上质量管理(QA)经验,或三年及以上药品研发工作经验;
3.然悉药品研发生产质量法规,具备一定的药物研发或检验经验者优先;
4.具备一定的英语读、写能力,熟练应用电脑及办公软件;
5.严谨细致,责任心强,具备优秀的沟通协调能力和团队合作精神。
职位介绍
岗位职责:
1.落实各项研发体系质量管理制度,确保研发活动符合GLP/GMP/ICH等法规要求以及公司的研发质量管理规章制度;
2.起草和完善研发质量管理文件,完成培训并监督执行,包括但不限于变更、偏差、研发过程的风险评估、技术转移等;
3.负责对中试生产和研发各个环节开展必要的质量监控工作,确保产生的各项数据真实、完整、可追溯;
4.开展与研发实际需求相适应的验证、确认、校验校准管理工作;
5.审核产品质量标准和工艺规程类质量文件,监督临床试验用药品的生产和包装;
6.协助研发团队应对国内外监管机构的现场核查和注册申报(如NMPA、FDA、EMA);
7.对研发外包服务(如CRO、CDMO)和物料供应商进行质量评估和审计,确保合作方符合质量要求。
岗位要求:
1.药学、化学、生物或医学相关专业,本科及以上学历;
2.具备临床QA经验、或两年及以上质量管理(QA)经验,或三年及以上药品研发工作经验;
3.然悉药品研发生产质量法规,具备一定的药物研发或检验经验者优先;
4.具备一定的英语读、写能力,熟练应用电脑及办公软件;
5.严谨细致,责任心强,具备优秀的沟通协调能力和团队合作精神。
Senior QA EN SHACC ALL(MJ034817)
Core Responsibilities
· AI Quality Assessment Framework & Standards
o Establish and maintain quality evaluation criteria for Large Language Models (LLMs), covering accuracy, safety, compliance, and instruction-following capabilities.
o Design evaluation workflows combining automation and human-in-the-loop assessment to quantify model performance regularly.
· End-to-End Quality Control & Risk Management
o Own regression testing and acceptance testing for model iterations, enforcing quality gates to prevent performance degradation before launch.
o Monitor online performance to mine for badcases, identifying model hallucinations, logic errors, or experience defects, and issue timely risk alerts.
· Issue-Driven Improvement & Closed-Loop Management
o Lead Root Cause Analysis (RCA) for quality issues, precisely diagnosing whether failures stem from data, prompts, or model architecture.
o Drive algorithm, product, and operations teams to resolve quality defects, track the fix rate and conduct re-validation to ensure a closed-loop process.
· Cross-functional Collaboration
o Bridge the gap between business needs and technical implementation, ensuring the AI delivers real value to users.
Key Qualifications and Experience
· Educational Background: Full-time bachelor's degree or higher.
· Work Experience: 3+ years of experience in internet product operations. Hands-on experience in LLM/AIGC product
operations is highly preferred.
· Professional Skills:
o Mastery of AI evaluation methodologies (e.g., Golden Dataset construction, Human Evaluation SOPs).
o Sharp eye for detail ("bug hunting" mindset) with the ability to mine potential risks from massive data.
o Familiarity with Prompt Engineering to reproduce or verify issues (focus on validation rather than daily maintenance).
· Soft Skills: Strong cross-functional communication skills; ability to use data to influence and drive cross-functional partners to solve complex problems.
· Language Skills: Proficiency in written and spoken English.
· Preferred Qualifications: Project management experience is a plus.
1、负责编制小卡领域自制零部件/总成的产品质量检验规范(标准)、检验作业文件的会签;
2、负责小卡领域自制零部件/总成产品审核;
3、负责小卡领域过程审核推进和过程审核符合率提升工作;
4、负责协调、检查、指导分管小卡领域产品质量的控制与确认工作;
5、负责小卡领域过程产品一致性监督和对日常质量问题的协调处理;
6、负责小卡领域负责不合格品的确认、仲裁及质量问题的整改验证工作;
7、负责定期对小卡领域过程产品质量的统计、分析、报告和过程质量监察工作;
8、负责小卡领域新产品制造质量保证及自制新产品质量认可。



