亚马逊Product Quality Engineer – Hardware & Data (AI Solutions), Private Brands
任职要求
基本任职资格 Basic qualifications - Bachelor’s degree in science, engineering or related discipline - 3+ years experience in product development or quality management within a manufacturing environment, third-party testing agency, or sourcing office of a global retailer - Proven experience working with cross-functional teams and managing both internal and external stakeholders - Strong background in managing vendor relationships and third-party service providers - Excellent analytical and problem-solving skills with the ability to dive deep into data to identify root causes of quality issues - Structured and process-oriented mindset with a focus on continuous improvement - Proficient in both written and spoken English and Mandarin - Solid data analysis capabilities and basic programming skills (e.g., SQL, Python) - Hands-on experience using AI tools and developing Generative AI solutions 优先任职资格 - Proven ability to manage multiple competing priorities and deliver high-q…
工作职责
• Ensure products continuously comply with Amazon’s quality, performance, reliability, as well as relevant safety and worldwide regulatory requirements • Implement and apply Amazon.com quality systems throughout the product life cycle • Work with stakeholders to define HPB product requirement document/specification in the planning stage of product development • Work with suppliers, 3rd party test labs, and internal teams for quality and compliance testing. • Proactively drive corrective action plans to lower down DPPM and raise the quality bar • Monitor and rigorously adhere to all quality activities SLAs and ensure SLA adherence by vendors and 3rd party labs. • Own DPPM (Defective Part Per Million) & CRR (Customer Review Rating) for responsible product categories, and proactively work with all stakeholders for resolving any quality complaints or issues • Strive continuously to identify innovative ways to prevent quality issues leading to improved customer reviews and ratings • Continuously analyze existing quality processes and systems and work with cross-functional teams for process improvements • Drive scalable business solutions on product development and quality monitoring processes • Maintain close collaboration with all internal and stakeholders, including those based in US and other worldwide Amazon offices, and provide visibility through appropriate reports • Explore and implement Generative AI tools to improve quality operations and drive innovation.
• Develop and own Product Requirement Documents (PRDs) for ingestible and formulated products, ensuring compliance with Amazon's quality standards. • Work closely with stakeholders across North America, Europe, and Japan with Performance protocols, Pre-production Testing (PPT), and Production Testing (PT) to insure pre-launching product quality. • Implement and maintain Amazon quality systems throughout the product lifecycle • Collaborate with suppliers, third-party testing laboratories, and internal teams to ensure product quality and compliance • Drive continuous product improvement initiatives to ensure APB products meet or exceed industry standards • Own Customer Review Ratings (CRR) for assigned product categories and proactively address quality complaints • Analyze quality processes and systems to identify opportunities for improvement • Develop scalable business solutions for product development and quality monitoring • Maintain close collaboration with global stakeholders and provide visibility through appropriate reporting A day in the life • Own end-to-end development and testing of APB new products while collaborating with marketplace-specific stakeholders • Ensure products continuously comply with Amazon's quality standards. • Work with stakeholders to define product specifications during the planning stage • Proactively drive product improvements to maintain competitive advantage • Identify innovative ways to prevent quality issues, leading to improved customer reviews • Provide technical expertise for ingestible and formulated products across the organization
Team Introduction: TikTok is a global short-video platform available in 150 countries and regions. Our mission is to inspire creativity and bring joy by helping users discover real and interesting moments that make life better. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. TikTok Research & Development (R&D) Team: The TikTok R&D team is dedicated to building and maintaining industry-leading products that drive the success of TikTok’s global business. By joining us, you'll work on core scenarios such as user growth, social features, live streaming, e-commerce consumer side, content creation, and content consumption, helping our products scale rapidly across global markets. You'll also face deep technical challenges in areas like service architecture and infrastructure engineering, ensuring our systems operate with high quality, efficiency, and security. Meanwhile, our team also provides comprehensive technical solutions across diverse business needs, continuously optimizing product metrics and improving user experience. Here, you'll collaborate with leading experts in exploring cutting-edge technologies and pushing the boundaries of what's possible. Every line of your code will serve hundreds of millions of users. Our team is professional and goal-oriented, with an egalitarian and easy-going collaborative environment. Research Project Introduction: With the advancement of hardware computing and the continuous breakthroughs of large models in CV/NLP/multimodal learning and even AGI fields, the large computing driven in recommendation scenarios are increasingly capable of capturing user preferences in a more comprehensive and nuanced way. This enables a deeper understanding of user needs and the discovery of latent interests, ultimately leading to enhanced user experiences. As a critical component of short video recommendation systems, the ranking module is responsible for fine-grained matching between users and content, selecting the videos users are most likely to be engaged with. In this context, the key research focus is how to best leverage large computing to maximize the model’s memory, generalization, and reasoning capabilities. 团队介绍: TikTok是一个覆盖150个国家和地区的国际短视频平台,我们希望通过TikTok发现真实、有趣的瞬间,让生活更美好。TikTok 在全球各地设有办公室,全球总部位于洛杉矶和新加坡,办公地点还包括纽约、伦敦、都柏林、巴黎、柏林、迪拜、雅加达、首尔和东京等多个城市。 TikTok研发团队,旨在实现TikTok业务的研发工作,搭建及维护业界领先的产品。加入我们,你能接触到包括用户增长、社交、直播、电商C端、内容创造、内容消费等核心业务场景,支持产品在全球赛道上高速发展;也能接触到包括服务架构、基础技术等方向上的技术挑战,保障业务持续高质量、高效率、且安全地为用户服务;同时还能为不同业务场景提供全面的技术解决方案,优化各项产品指标及用户体验。 在这里, 有大牛带队与大家一同不断探索前沿, 突破想象空间。 在这里,你的每一行代码都将服务亿万用户。在这里,团队专业且纯粹,合作氛围平等且轻松。 课题介绍: 随着硬件算力的发展以及大模型在CV/NLP/多模态以至于AGI领域的不断突破,推荐场景下的大算力驱动能够帮助模型更全面深刻理解用户偏好,进而更好地理解用户需求,挖掘用户潜在兴趣,进而带来更好地用户体验。排序模块作为整个短视频推荐系统中非常重要的一环,承载着用户与视频之间的细粒度匹配挖掘进而挑选出用户最感兴趣的视频。如何找到合适的路径来最大化大算力下模型的记忆、泛化、推理能力,成为了研究的重中之重。

• Perform on-site installation, maintenance, and repair of system. • Diagnose and troubleshoot technical issues. • Provide technical support and training to customers. • Document service activities and maintain accurate records. • Collaborate with other engineers and support staff to resolve complex issues. • Ensure compliance with safety and quality standards. • Manage and maintain tools and equipment. • Provide feedback to improve product design and functionality. • Assist in the development of service manuals and technical documentation. • Conduct preventive maintenance to minimize equipment downtime. • Respond to emergency service requests in a timely manner. • Maintain a high level of customer satisfaction. • Stay updated with the latest industry trends and technologies. • Participate in training and development programs. • Prepare and submit service reports and documentation. • Coordinate with internal departments and external vendors for the timely delivery of hardware and software systems. • Provide remote support when necessary. • Maintain a professional appearance and demeanor at all times.
芯片产业进入后摩尔时代,芯片封装解决方案面临诸多挑战。封装的尺寸、结构、散热、BOM材料、制造工艺,共同影响芯片的性能、成本、以及应用可靠性。作为封装工程师,你将致力于业界最高端芯片封装解决方案的设计、开发、制造、测试、验证,失效分析以及技术创新。在这里,你可以了解并获得最先进的芯片封装技术知识及能力,并和业界顶尖的工程师一起,共同开发最先进封装技术,并推动其持续发展。 As IC industry enters the more than Moore era, chip packaging solutions are facing many challenges. Package size, package structure, heat dissipation, BOM material, and manufacturing process all affect chip performance, cost, and application reliability. As a packaging engineer, you will be dedicated to the design, development, manufacture, testing, verification, failure analysis, and technological innovation of the industry's highest-end chip packaging solutions. Here, you can understand and acquire the relevant knowledge and skills of the most advanced chip packaging technology, and work with the industry's top engineers to jointly develop the most advanced packaging technology and promote its continuous development. 工作职责RESPONSIBILITIES: 作为可靠性测试验证工程师,负责IC可靠性测试方案的制定与设计,保证芯片可靠性测试验证的顺利开展以支撑芯片及产品的开发及量产应用 Work as a Reliability Test and Verification Engineer, define reliability solution and its corresponding hardware design, to ensure reliability test and verification tasks to support the development and mass production of chips and products. 负责芯片及产品相关的失效分析、可靠性寿命评估,并针对失效分析结果联合上下游团队提出适当的解决方案 Responsible for failure analysis and reliability life assessment to chips and products, and work with up/down-stream teams to propose appropriate solutions based on failure analysis results 构建并不断完善可靠性测试流程、系统,支撑公司产品交付 Build and continuously improve the reliability test process and system to support the company's product delivery 从效率、成本等角度对可靠性测试方法、方案开展持续改进及优化,保证产品测试质量的基础上,不断提升可靠性测试竞争力 Continuous improvement and optimization of reliability test methods and solutions from the perspectives of efficiency and cost, and continuously improve reliability test competitiveness on the basis of ensuring product test quality. 跟踪行业技术趋势,开展可靠性寿命评估模型及方法的研究,应对新工艺制程、新结构、新材料的挑战 Track on the industry trend, perform research on reliability life assessment models and methodology, to addressing challenge on new process, new structure and new material.