特斯拉Software Engineer，Java/C#

Headquartered in Singapore, Ant International powers the future of global commerce with digital innovation for everyone and every business to thrive. In close collaboration with partners, we support merchants of all sizes worldwide to realize their growth aspirations through a comprehensive range of tech-driven digital payment and financial services solutions. We are seeking for Java Software Engineers for our Malaysia Tech Center, work on end-to-end solutions for cross-border payments for our global merchants and globalization business. Key Responsibilities: 1. Design solutions involving integration with multiple systems and services. 2. Develop high volume, high performance, low latency and reliable mission critical applications. 3. Write maintainable, robust, and testable code. 4. Perform code and test case review. 5. Implement processes, solutions or tools to improve software delivery and quality. 6. Able to adopt latest software development trends and industry best practices.

We are aiming to leverage AI and other leading technology and dedicated to provide safe and reliable risk control capabilities behind payments. The core technologies include rule engines, model engines, intelligent algorithm models, etc., We are the leading platform with capabilities of high concurrent real-time risk calculations and massive big data analysis and processing. And as the core risk management tech platform for global payment business, we adopt a multi-center deployment architecture around the world. Here you may have the opportunity to learn more about and participate in the design and development of the following aspects: 1. Ultimate computing optimization at the millisecond level. 2. Behavior analysis and risk mining under massive data. 3. Global multi-center system architecture planning and high-availability solution design. 4. Participated in the design of R&D of risk control systems and big data platforms. You will also have the opportunity to explore the architectural design and implementation of cutting-edge technologies such as privacy computing and large models in risk control systems.

Headquartered in Singapore, Ant International powers the future of global commerce with digital innovation for everyone and every business to thrive. In close collaboration with partners, we support merchants of all sizes worldwide to realize their growth aspirations through a comprehensive range of tech-driven digital payment and financial services solutions. We are seeking for Java Software Engineers for our Malaysia Tech Center, work on end-to-end solutions for cross-border payments for our global merchants and globalization business. Key Responsibilities: 1. Design solutions involving integration with multiple systems and services. 2. Develop high volume, high performance, low latency and reliable mission critical applications. 3. Write maintainable, robust, and testable code. 4. Perform code and test case review. 5. Implement processes, solutions or tools to improve software delivery and quality. 6. Able to adopt latest software development trends and industry best practices. 7. Leading a team of members and providing internal and external mobile technology workshops, training, and sharing.

AUS Merchant Service.INC as known as Alipay that is committed to democratizing payment services and empowering people and businesses to join and thrive in the global economy. Alipay at its core is a group of engineers that are dedicated in building cutting edge, highly reliable, highly scalable and high throughput payment system. Here at Ant Group, you will have a positive impact to the world. You will learn and build the most exciting and most capable large-scale payment system with engineers like you with passion. A career at Alipay is more than just a job. It’s a chance to have broader knowledge and learn things from all aspects of how to make payments happen. At Alipay, we value personal growth and always set higher bar, encourage people to come out of comfort zone and make yourself a better you. You can expect to be constantly challenged with interesting technical problems. Our work environment is collaborative, innovative, results-driven, and completely focused on the customer. The Solution Engineer (SE) role resides within the Alipay Enterprise Presale Integration Solution (PIS) team and is responsible for critical activities such as integration solution creation, presentation and projects' implementation and maintenance. This person functions as a regional primary Technical Force for the Alipay global services and provides a single point of contact for any relevant technical consultation required by external and internal partners. This role provides deliveries for quality-focused activities such as requirements Integration Detail reviews, Technical Design reviews, Test Plan reviews, and Impact Analysis reviews. Working closely with the BD and PD teams, the SE role consistently ensures that any new Integration being done appropriately with the internal/external teams aligns with the direction, best practices, and standards defined. Finally, the SE must be able to present applicable advances and changes to help drive future-looking initiatives.

1. Based on the customer's scenario, combine cloud products to create deployable solutions. 2. Continuously analyze the effectiveness of the solution, attend to user feedback, identify and abstract typical issues, and optimize the solution to enhance the user experience. 3. Participate in project development and management, collaborating with product managers, software engineers, test engineers, UI/UX designers, and product operations to drive project execution.

Team Introduction: Data AML is ByteDance's machine learning middle platform, providing training and inference systems for recommendation, advertising, CV (computer vision), speech, and NLP (natural language processing) across businesses such as Douyin, Toutiao, and Xigua Video. AML provides powerful machine learning computing capabilities to internal business units and conducts research on general and innovative algorithms to solve key business challenges. Additionally, through Volcano Engine, it delivers core machine learning and recommendation system capabilities to external enterprise clients. Beyond business applications, AML is also engaged in cutting-edge research in areas such as AI for Science and scientific computing. Research Project Introduction: Large-scale recommendation systems are being increasingly applied to short video, text community, image and other products, and the role of modal information in recommendation systems has become more prominent. ByteDance's practice has found that modal information can serve as a generalization feature to support business scenarios such as recommendation, and the research on end-to-end ultra-large-scale multimodal recommendation systems has enormous potential. It is expected to further explore directions such as multimodal cotraining, 7B/13B large-scale parameter models, and longer sequence end-to-end based on algorithm-engineering CoDesign. Engineering research directions include: Representation of multimodal samples Construction of high-performance multimodal inference engines based on the PyTorch framework Development of high-performance multimodal training frameworks Application of heterogeneous hardware in multimodal recommendation systems 1. Algorithmic research directions include: 2. Design of reasonable recommendation-advertising and multimodal cotraining architectures 3. Sparse Mixture of Experts (Sparse MOE) 4. Memory Network 5. Hybrid precision techniques 团队介绍： Data AML是字节跳动公司的机器学习中台，为抖音/今日头条/西瓜视频等业务提供推荐/广告/CV/语音/NLP的训练和推理系统。为公司内业务部门提供强大的机器学习算力，并在这些业务的问题上研究一些具有通用性和创新性的算法。同时，也通过火山引擎将一些机器学习/推荐系统的核心能力提供给外部企业客户。此外，AML还在AI for Science，科学计算等领域做一些前沿研究。 课题介绍： 大规模推荐系统正在越来越多的应用到短视频、文本社区、图像等产品上，模态信息在推荐系统中的作用也越来越大。 字节实践中发现模态信息能够很好的作为泛化特征支持推荐等业务场景，端到端的超大规模多模态推荐系统的研究具有非常大的想象空间。 期望在算法和工程CoDesign基础上，对多模态Cotrain、7B/13B大规模参数模型、更长序列端到端等方向进一步进行探索。 工程上研究方向包括多模态样本的表征、基于 pytorch 框架的高性能多模态推理引擎、高性能多模态训练框架的构建、异构硬件在多模态推荐系统上的应用；算法上的研究方向包括设计合理的推荐广告和多模态Cotrain结构、Sparse MOE、Memory Network、混合精度等。 1、负责机器学习系统架构的设计开发，以及系统性能调优； 2、负责解决系统高并发、高可靠性、高可扩展性等技术难关； 3、覆盖机器学习系统多个子方向领域的工作，包括：资源调度、任务编排、模型训练、模型推理、模型管理、数据集管理、工作流编排、ML for System等； 4、负责机器学习系统前瞻技术的调研和引入，比如：最新硬件架构、异构计算系统、GPU优化技术的引入落地； 5、研究基于机器学习方法，实现对集群/服务资源使用情况的分析和优化。

1. CI/CD Platform Development & Implementation: 2. Design, develop, and maintain corporate CI/CD platforms ensuring high availability and scalability.Integrate cutting-edge CI/CD tools/technologies to meet evolving business needs. 3. Version Control Systems Management: 4. Master Git/distributed VCS with expertise in branch strategies and merge workflows.Enforce codebase security and quality standards. 5. Cross-Functional Leadership: 6. Drive CI/CD adoption across R&D teams through proactive collaboration.Champion automation practices via resource coordination and stakeholder alignment.

Assist in designing, coding, and testing software applications based on project requirements. Participate in code reviews and contribute to team knowledge sharing. Collaborate with cross-functional teams including QA, product, and design teams. Write clean, maintainable, and well-documented code. Troubleshoot, debug, and upgrade existing systems. Stay updated with new technologies and development practices.

1. Architect and implement agentic workflows that plan, reason, call tools/APIs, and coordinate with humans or other agents. 2. Select, extend, or build frameworks (e.g., LangChain, AutoGen, CrewAI, MetaGPT, LangGraph) to accelerate delivery while avoiding vendor lock-in. 3. Own the MLOps lifecycle: data collection, evaluation harnesses, safety filters, CI/CD, and observability for deployed agents. 4. Integrate enterprise systems & data sources (REST/GraphQL, Kafka, vector databases, Kubernetes) so agents can act on real business objects. 5. Mentor and review code for junior engineers; drive best practices in prompt engineering, evaluation, and secure coding. 6. Research emerging techniques (toolformer, self-reflection, role specialization) and translate findings into the product roadmap.

1. Architect and implement agentic workflows that plan, reason, call tools/APIs, and coordinate with humans or other agents. 2. Select, extend, or build frameworks (e.g., LangChain, AutoGen, CrewAI, MetaGPT, LangGraph) to accelerate delivery while avoiding vendor lock-in. 3. Own the MLOps lifecycle: data collection, evaluation harnesses, safety filters, CI/CD, and observability for deployed agents. 4. Integrate enterprise systems & data sources (REST/GraphQL, Kafka, vector databases, Kubernetes) so agents can act on real business objects. 5. Mentor and review code for junior engineers; drive best practices in prompt engineering, evaluation, and secure coding. 6. Research emerging techniques (toolformer, self-reflection, role specialization) and translate findings into the product roadmap.

• Lead the architecture, design, and development of intelligent agent systems that integrate LLMs with real-world applications. • Drive full-stack engineering implementation, including backend services, API integration, database design, and task orchestration. • Select and optimize system components such as message queues, middleware, vector databases, and caching frameworks to meet performance and scalability targets. • Work closely with product and research teams to translate AI agent logic (e.g., tool-use, planning, reasoning) into robust, production-grade systems. • Take ownership of system performance tuning, including concurrency handling, throughput optimization, and service reliability. • Guide the team through best practices in code quality, CI/CD pipelines, and system observability. • Build and lead a team of engineers to deliver high-quality agent-driven applications from prototype to deployment.

1. Responsible for the design, monitoring, implementation, maintenance, troubleshooting, and optimization of database systems, ensuring high availability, scalability, and reliability. 2. Design and develop computer software or utility toolkits to automate and more efficiently manage large-scale database instances. 3. Perform database fault detection, localization, and stop-loss capability development to improve anomaly recovery speed. 4. Collaborate with application developer teams to improve database performance and reliability. 5. Responsible for participating in a 24*7 on-call rotation to ensure high availability and resolving critical database issues.

1. Work with product teams and stakeholders to translate business requirements into scalable technical solutions； 2. Conduct technical discussions, and solution presentations in fluent English with external clients and non-technical stakeholders； 3. Design, develop, test, and deploy Java applications using Spring Boot, adhering to coding standards, best practices, and microservices architecture principles； 4. Develop high volume, high performance, low latency and reliable mission-critical applications； 5. Participate in architectural reviews, apply design patterns and object-oriented design principles, and optimize system performance (e.g., SQL tuning, JVM profiling)； 6. Assist in troubleshooting and resolving software defects and issues； 7. Containerize applications using Docker, manage orchestration via Kubernetes, and deploy to cloud platforms (AWS/Aliyun)； 8. Participate in sprint planning, code reviews, and CI/CD pipeline maintenance within Scrum teams.

图研发团队负责美图系列产品的全链路技术开发与中台体系建设。我们聚焦AI影像、多端协同与数据智能，用扎实的技术将创意转化为稳定优美的亿级用户产品体验。期待你加入，用代码赋能创意。 Our R&D Team drives full-stack development for Meitu's product suite and platform infrastructure. Specializing in AI imaging, multi-end collaboration, and data intelligence, we turn ideas into stable, elegant experiences for millions of users. Join us to code the future of creativity. 岗位名称：测试开发工程师 工作地点：厦门 岗位职责： ● 参与Windows / Mac / Android / iOS 平台下的自动化测试和专项测试的相关工作 ● 追踪并分析线上线下故障，推动问题的合理解决，提升项目质量 ● 根据公司产品特点和业务需求，对测试工具和方式进行优化，包括但不限于研发和维护内部工具、平台、系统和框架 ● 学习和研究新技术并落地以提高测试效率和质量

"1. Responsible for the research and development of data platfrom for xiaomi internet businesses. 2. Build the infrastructure and tools required for optimal extraction, transformation, and loading of data from a wide variety of data sources 3. Design and implement Data as a Service ( DaaS ) for analytics and data scientist team members that assist them in developing intelligent agile operation Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc."

1.基于数据产品经理输出的需求，使用相应的软件技术并遵循软件研发流程，进行软件开发工作，为效率和质量负责； 2.从事高性能良率分析、供应链产能/计划模型等开发。

1.前端：用 Python（Django/FastAPI/Streamlit）或 Java（Spring Boot + Thymeleaf/前后端分离）快速开发可交付的Web应用； 2.后端：负责RESTful API、微服务、消息队列、任务调度，保障高并发、高可用； 3.数据层：MySQL/PostgreSQL/MongoDB 表设计、调优、备份、迁移，必要时编写ETL脚本； 4.AI 协同：与算法团队对接，把模型（PyTorch/TensorFlow）封装成在线推理服务（Docker + K8s + GPU），持续监控效果； 5.质量保障：单元/集成测试、CI/CD、灰度发布、性能压测、故障复盘。

1.能够分析现有工具并提供软件解决方案建议 2.了解业务需求，设计合理的实现构架 3.与团队成员合作，共同制定流程优化的方案 4.开发自动化分析工具，优化仿真工作流程

-负责移动应用的功能设计与开发 -与跨职能团队协作，共同打造世界一流应用产品 -优化应用性能与用户体验 -按时交付高质量项目

Ant International serves customers around the world, and we are dedicated to providing safe and reliable risk control capabilities behind payments. The core technologies include rule engines, model engines, intelligent algorithm models, etc., involving very high concurrent real-time risk calculations and massive big data analysis and processing. It adopts a multi-center deployment architecture around the world. You are welcome to build it together. Here you may have the opportunity to learn more about and participate in the design and development of the following aspects: 1. Ultimate computing optimization at the millisecond level. 2. Behavior analysis and risk mining under massive data. 3. Global multi-center system architecture planning and high-availability solution design. You will also have the opportunity to explore the architectural design and implementation of cutting-edge technologies such as privacy computing and large models in AML systems. Welcome you to meet the challenge. Responsibilities 1. Build data pipelines that clean, transform, and aggregate data from disparate sources 2. Work closely with our business analysis team to provide unique insights into our data 3. Build robust systems for data quality assurance and validation at scale 4. Partner with data analysts on refining the data model used for reporting and analytical purposes

美图研发团队负责美图系列产品的全链路技术开发与中台体系建设。我们聚焦AI影像、多端协同与数据智能，用扎实的技术将创意转化为稳定优美的亿级用户产品体验。期待你加入，用代码赋能创意。 Our R&D Team drives full-stack development for Meitu's productsuite and platform infrastructure. Specializing in AI imaging,multi-end collaboration, and data intelligence, we turn ideas intostable,elegant experiences for millions of users. Join us to code the future of creativity. 岗位名称：软件测试实习生（北京） 地点：北京 岗位职责： ● 负责公司中台组件的功能测试和专项测试等相关工作 ● 追踪并分析线上线下故障，推动问题的合理解决，提升项目的质量 ● 根据公司产品特点和实际测试需求，开发合适的测试工具或自动化解决方案，提高测试效率

Job Description We are seeking a highly motivated Full-Stack Engineer to deliver exceptional user experiences for our enterprise clients. The ideal candidate will have strong software engineering skills and expertise across the entire technology stack, including modern front-end frameworks and back-end languages. Excellent interpersonal communication skills and the ability to provide meaningful feedback on technical design are essential. In this role, you will be responsible for end-to-end development of user experiences — from architecture and interactive front-end interfaces to back-end systems. You will collaborate closely with our Product Managers and cross-functional development teams to deliver innovative solutions for enterprise B2B systems. We are looking for passionate individuals who are committed to building scalable, high-quality applications and can execute effectively in a fast-paced environment. Responsibilities： 1. Design, implement, and maintain full-stack applications, including web pages and back-end APIs, ensuring end-to-end functionality. 2. Optimize code across all layers of the technology stack to improve performance, stability, and maintainability. 3. Collaborate with cross-functional teams, including Product Managers, developers, QA engineers, and business stakeholders on enterprise B2B projects. 4. Stay up-to-date with the latest web and enterprise technology trends while maintaining comprehensive design and requirement documentation for B2B systems. 5. Integrate front-end frameworks (e.g., Angular and React) with back-end services (e.g., C# and Node.js) to build scalable and secure enterprise applications.

我们正在寻找一位积极进取的iOS软件开发工程师，专门为我们的中国用户提供出色的用户体验。您将需要强大的软件工程技能，出色的人际交流以及接受和提供有关技术设计的有意义反馈的经验。并能接受和提出对技术设计的有价值反馈。您将负责界面外观和驾驶体验，体系结构和技术开发。您将需要与我们一流的设计团队和后端开发人员合作。 我们的目标是设立汽车用户界面的标准。通过创建自然流动的界面，使汽车感觉就像驾驶员身体的延伸。如果你也为这一目标感到兴奋，请加入我们。 职责描述： • 端到端设计，编码和维护移动用户体验； • 优化代码的性能，稳定性和可维护性； • 与跨职能团队的硬件工程师，应用程序/ UI软件工程师，QA /验证和设计人员合作； • 跟随中国的移动体验趋势, 维护设计和需求文档；

The Role We are looking for a highly motivated mobile engineer specializing and creating exceptional user experiences for our users in China. You will need strong software engineering skills, excellent interpersonal communication, and experience accepting and giving meaningful feedback on technical designs. You will be responsible for the look and feel of the user experience, architecture, and front-end graphics. You will need to collaborate with our top-notch design team and back end developers. Our goal is to set the bar for what vehicle mobile user experience can be. We want to work with people who are excited by this goal and have the talent to deliver on it. Responsibilities: • Design, code and maintain mobile user experiences end-to-end. • Optimize code for performance, stability and maintainability. • Work with a cross-functional team of hardware engineers, application/UI software engineers, QA/Validation, and designers • Following the mobile experience trend in China, maintain design and requirements documentations.

The Role Tesla aims to accelerate world’s transition to a sustainable energy by ensuring we provide a seamless and frictionless experience to our customers. To meet this goal, Tesla is constantly striving to innovate and provide best in class services through introduction of pioneering new products and services. To that end, Tesla is seeking hardworking and passionate software engineers as various levels. These engineers will be part of a startup team that is focused on delivering a highly scalable platform that enables growth of current and future products and services to our customers. Responsibilities • Design and develop high quality, scalable and stable web applications and/or back-end services. • Develop client-side applications that connect with web services. • Develop back-end web services. • Follow Tesla’s high standards for security-best practices in all development. • Partner closely with security team for code analysis and design reviews. • Perform unit testing. • Process bug reports and release fixes. • Participate in code reviews. • Participate in agile processes. • Always think innovatively to solve customer problems.

特斯拉销售与交付IT开发团队负责开发应用程序以支持特斯拉的快速增长，同时提供卓越的客户体验。团队致力于在特斯拉官网、移动端应用、小程序及内部工具中打造一致且面向全球的客户体验。 作为我们团队中的一名 Software Engineer，您将主要负责软件设计、系统研发、平台的自动化部署、配置和管理，并确保我们的系统正常运行。您将通过实施适当的监控工具和技术，在问题影响生产环境之前及时发现并解决。 岗位职责 • 设计和开发特斯拉支付系统，支持中国大陆及亚太地区的支付系统。 • 开发支持特斯拉车辆订单和交付的 IT 系统。 • 将软件与各种类型的设备、系统进行集成。 • 确保系统的可观测性最佳实践，例如指标监控、日志记录、链路追踪和告警机制。 • 监控系统性能，并提出改进建议，持续进行优化。 • 编写与工作流程、流程规范和最佳实践相关的技术文档。

作为全栈工程师，您将聚集前端与后端程序设计和实现跨平台的高性能Web应用， 实现高可用的后端服务。您需要有比较丰富的前后端开发经验，并能够设计可扩展的前端、后端架构，以支持我们业务的快速成长和变化。 岗位职责 • 设计和优化前后端架构，确保应用的性能和可维护性。 • 掌握移动端和Web平台的跨平台应用开发。 • 掌握后端应用服务开发。 • 探索和评估新技术，将其融入现有系统以提升产品质量和开发效率。 • 建立和维护前端开发的最佳实践，包括自动化测试、代码复用和持续集成。

THE ROLE We're the small, expert team creating the next-generation server-side infrastructure to support the manufacturing and functionality of fleets of Tesla products, and we're looking for seasoned SREs with domain expertise in one or more of: containers, public clouds and cloud-native apps. Today, Tesla owners rely on our services to safely and securely summon their cars with a tap on their mobile phones -- a feature enabled by one of the many over-the-air updates we've delivered to the Tesla vehicle fleet. Tesla engineering relies on our data and analytics platform to make Tesla products better and safer. And, when an owner needs assistance, Tesla service and support rely our applications to understand and respond to the situation. Tomorrow, we will apply fleet learning to dispatch and deliver real-time road conditions to millions of autonomous vehicles and manage distributed energy generation & storage at grid scale. Join us and you will work alongside world-class software and data engineers on some of the newest and most challenging IoT, manufacturing and service engineering problems in the world today. The platform you help us build and automate will be used daily by millions of Tesla owners (and tens of thousands of Tesla employees) to improve and enhance the functionality of our cars, chargers, and batteries worldwide. RESPONSIBILITIES Design and write software that enables rapid prototyping by development teams, while ensuring the highest levels of reliability and availability. Work directly with our factory firmware team to provide highly available factory-facing services. Drive the migration of large-scale, distributed fleet applications towards cloud-native microservices. Influence architectural decisions with focus on security, scalability and high-performance. Automate the build and deployment of infrastructure using Docker, Kubernetes & other orchestration technologies in a hybrid-cloud environment. Setup and maintain monitoring, metrics & reporting systems for fine-grained observability and actionable alerting.

Summary of the position This position in the Camera Engineering Team will focus on driving the design and engineering of various optical systems such as camera lenses, automotive glass parts through the use of state-of-the-art optical simulation tools and innovative technologies. This role will participant all aspect of design work from early architecture to final product assessment. As optics is linked to a variety of physical phenomena such as mechanics, fluid dynamics or thermals, the engineer will need to understand various aspects of the product design and think at the system level. The engineer will provide actionable feedback and design guidelines to the team members. Lab work is a component of the position especially for the characterization of lenses and coatings. This role involves collaboration with designers, engineering, manufacturing, and commercial teams and requires the ability to distill highly technical information and effectively communicate with other teams and management. Essential

The Role: We are looking for a highly motivated mobile engineer intern specializing and creating exceptional user experiences for our users in China. You will need strong software engineering skills, excellent interpersonal communication, and experience accepting and giving meaningful feedback on technical designs. You will be responsible for the look and feel of the user experience, architecture, and front-end graphics. You will need to collaborate with our top-notch design team and back end developers. Our goal is to set the bar for what vehicle mobile user experience can be. We want to work with people who are excited by this goal and have the talent to deliver on it. Responsibilities: • Design, code and maintain mobile user experiences end-to-end. • Optimize code for performance, stability and maintainability. • Work with a cross-functional team of hardware engineers, application/UI software engineers, QA/Validation, and designers. • Following the mobile experience trend in China, maintain design and requirements documentations.

THE ROLE As an experienced Software Engineer, you’ll take part in the design and development of software for the current and next generation of Tesla’s After-Sales related systems. In this role, you’ll be developing highly complex applications, while acting as a team member, to streamline business operations and improve overall user experience. The ideal candidate is a self-starter with a strong desire to increase efficiencies and make an impact while contributing to a cross-functional team. Your ability to creatively collaborate and execute team goals will affect scalability and directly contribute to the company's mission of accelerating the world’s transition to sustainable energy. RESPONSIBILITIES • Work closely with a wide variety of stakeholders to analyze and break down large requirements into small, simple, workable deliverables. • Work across multiple projects simultaneously. • Design, implement, and deliver to production complete end-to-end fully functional solutions. • Develop scalable solutions using tools like Java, .Net,Python, MySQL, and other open stack frameworks. • Ensure highest technical quality of your deliverables and they are cost-effective to maintain. • Contribute relevant, clean, concise and quality documentation to Tesla's knowledge base to support/increase information sharing within the organization. • Automate any repetitive development tasks and bring efficiency to the team. • Ability to multi-task and manage multiple assignments in a fast-paced environment. • Agile/SCRUM Software Development Process experience is a plus.

• Execute AI/ML projects, including developing domain-specific chatbots for wireless testing reports (from internal teams and third-party labs), as well as regulatory and standards documents from global authorities. • Research and apply innovative LLM techniques, such as workflow optimization, model architecture design, and prompt engineering, to improve efficiency and accuracy. • Perform data mining, analysis, and predictive modeling using advanced ML approaches to generate actionable insights. • Design, develop, and maintain web applications (front-end and back-end) to support AI/ML tools and data visualization. • Deploy, optimize, and maintain softwares and models in production environments, ensuring scalability, reliability, and performance.

• In this role, you will • - AI Solution Development: Design, develop, and deploy AI-driven applications, across domains, such as machine learning, NLP, and computer vision, addressing both business requirements and end-user needs. • - Agent Design and Development: Design and implement intelligent agents within multi-agent systems, enabling real-time collaboration based on pre-defined goals, strategies, and data exchanges. Develop agent-based models to optimize decision-making and interactions. • - MCP Integration: Extend and integrate Multi-Agent Coordination Platforms(MCP) to optimize resource allocation, communication, and decision-making across multiple agents in shared environments. • - Collaboration with Data Science Teams: Collaborate with data scientists to refine algorithms, optimize models, and enhance AI performance, focusing on model tuning, feature selection, and performance benchmarking • - Testing and Validation: Conduct rigorous testing and validation of AI models, including unit testing, integration testing, and A/B testing, to ensure accuracy, reliability, and scalability before deployment. • - Monitoring and Maintenance: Monitor deployed AI models, track performance metrics, and implement continuous improvement strategies, including model re-training and updates based on real-world data and evolving business needs.

The ideal candidate has current and extensive experience developing and building Android systems and applications. The candidate understands what the limitations of the platform are and can design and implement additional services or help optimize existing ones to meet the product requirements. The ideal candidate: - Has in-depth expertise working with Android system - In-depth knowledge and experience with Linux kernel development - Experience on bootloader and device drivers development and enjoy working on hardware directly - Enjoys working side by side with partners, colleagues and teams on challenging problems - Is highly effective and thrives in a dynamic environment with multiple, changing priorities - Knows what is important when releasing software to developers and has been through the process from start to finish - Is comfortable with proactive outward communication and technical leadership and never shies away from a challenge Are you interested in jumping into the driver’s seat of our sensational FireTV partner products? We are looking for exceptional talent with Android Open Source Project (AOSP) expertise to join as a Senior System Development Engineer in the Fire TV 3p Devices team. Our team's mission is to build delightful FireTV products for our customers and partners with lower cost and faster time to market. As a member of the team, you will be working with business partners, software development engineers and testers to design, implement, test, launch, document, and maintain complex software applications, tools, and systems. You will have significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product. You will learn a variety of cutting-edge technologies, development processes, and develop well-rounded skills such as leadership, and effective project management. You will also mentor junior engineers.

- Lead the development of new Android innovative features and applications and initiatives across the organization. - Investigate, prototype, and deliver new and innovative software applications. - Deliver high quality software through working in a diverse, team-focused Agile/Scrum environment. - Instil best practices for software development and documentation, assure designs meet requirements, and deliver quality work - Support development activities by being onsite with partners and vendors.

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced creative devices like Fire tablets, Fire TV, Amazon Echo and Echo Dot. What will you help us create? Work hard. Have fun. Make history. The Role: We are looking for a passionate, talented and inventive Audio Algorithm Software Engineer to join our team. We are open to hire in Shenzhen. In this role, you will: • Engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products • Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test • Be responsive, flexible and able to succeed within an open collaborative peer environment

As a Manufacturing Test Engineer you’ll be expected to: • Design and Develop test solutions and test-setup prototypes for new technologies • Work collaboratively with engineering and operations partners • Serve as a test lead on cross-functional projects with significant bottom-line impact • Ensure the quality and execution of our manufacturing test systems • Lead test design and drive test coverage reviews with engineering teams and CMs. • Proactively communicate technical information and status to broad, cross-functional teams via weekly updates • Functionally decompose complex problems into simple, straight-forward solutions • Understand system inter-dependencies and limitations • Travel to development and build sites in Seattle and Asia to support NPI activities. • Work with contract manufacturing test teams to ensure test line readiness for NPI build events. A day in the life Just Walk Out is a new kind of store with no lines and no checkout. You simply use the app to enter the store, take what you want from our selection of fresh, delicious meals and grocery essentials, and go. Our checkout-free shopping experience is made possible by our Just Walk Out Technology. It automatically detects when products are taken from or returned to the shelves and keeps track of them. When you’re done shopping, you just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. We designed and custom-built, our technology uses computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA. We value diverse experience, work/life balance, inclusive team culture and mentorship for career growth. We’re looking for people who want to join an ambitious team that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.

• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs. • Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance). • Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer. • Establish data standardization and governance policies to ensure consistency, accuracy, and compliance. • Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows. • Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools). • Provide technical guidance and best practice on data architecture and BI solution

岗位描述 · 与经验丰富的团队合作，构思，设计创新的产品和服务，将其推向市场。 · 在大型分布式计算环境中设计和构建创新技术，并帮助引领行业的变革。 · 规模化、快速地使用创新技术，在分布式系统上创建解决方案进行预测。 · 构建可扩展，容错，低成本且易于管理的分布式存储、索引、查询系统。 · 设计解决方案并进行编码，解决广泛的技术问题。 · 在敏捷环境中工作，交付高质量的软件。 岗位要求 · 计算机科学，软件，自动化或相关领域的本科/研究生/博士。 · 毕业时间可以为23届，24届和25届的毕业生，即：0-2年以内工作经验的同学申请投递 · 熟悉Java，C / C++或Python等语言。 · 具备计算机科学基础知识，例如面向对象设计，算法设计，数据结构和复杂性分析。 加分项 · 具有分布式，多层系统，算法或关系数据库的经验。 · 在数学方面的经验，例如线性规划或非线性优化。 · 可以有效表述技术问题并提供解决方案。 · 具备抽象思考的能力，善于解决复杂的问题。

职位：SDE上海 请注意：多数实习岗位设置在北京，只有非常少量岗位在上海，招满即止。 毕业时间：2025年10月 - 2026年9月之间毕业的应届毕业生 · 入职日期：2025年6月及之前 · 实习时间：保证一周实习4-5天全职实习，至少持续3个月 · 工作地点：上海市长宁区长宁路来福士广场 · 校招信息请参考校园招聘申请手册： https://amazonexteu.qualtrics.com/CP/File.php?F=F_55YI0e7rNdeoB6e 投递须知： 1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！ 2 学校的英文全称请准确填写。 你想通过创新技术解决业务挑战吗?你喜欢与团队一起研究尖端的、可扩展的服务技术吗?你愿意参与可以推动行业发展的核心项目吗? 每位实习生都会有一位经理和一名导师专职指导工作。你将有机会接触到亚马逊的领先技术并引领关键项目的开发。你的设计，代码和智慧才学将帮助亚马逊解决复杂的技术挑战。这些挑战有可能会来自分布式系统，数据挖掘，自动化，优化和安全性等诸多领域中。 除了参与开发具有影响力的项目外，你还将有机会与亚马逊的资深工程师探讨和达成个人成长和职业发展，扩大你的人脉网络。在整个实习期间你将与其他实习生一起参与亚马逊内部活动。无论您身在亚马逊任何一个办公室，我们都会为你提供技术和学习方面的强大工具。 为了服务亚⻢逊的客户，我们正在寻找顶尖的技术人才进行创新。顾客至尚的理念使我们成为全球最受欢迎的品牌之一，这一观念已成为我们公司DNA的一部分。加入亚马逊实现个人成就和成长！

工作职责 · 与经验丰富的团队合作，构思，设计创新的产品和服务，将其推向市场。 · 在大型分布式计算环境中设计和构建创新技术，并帮助引领行业的变革。 · 规模化、快速地使用创新技术，在分布式系统上创建解决方案进行预测。 · 设计解决方案并进行编码，解决广泛的技术问题。 · 在敏捷环境中工作，交付高质量的软件。

• MS in Computer Science or equivalent experience • Strong coding skills and experience with data structures and algorithms • Proficiency in one of following languages: Python, Go, Java, C++, Rust • Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes • Experience with large scale infrastructure, petabyte scale data processing • Ability to understand/clarify product requirements and translate them into technical tasks

The objective of this role is to elevate Apple’s voice assistant and search to a new level of intelligence and accuracy through the application of advanced techniques. This encompasses various areas such as enhancing data management, optimizing pipeline processes, improving services, and refining modeling algorithms. Additionally, the team collaborates closely with other engineers to swiftly develop experiments and implement prototypes. By consistently tackling novel challenges, they strive to create a remarkable product that prioritizes accuracy, usability, and optimal performance. This unique opportunity at the forefront of machine learning and software engineering combines a diverse set of skills and innovation. Your work will have a profound impact on hundreds of millions of users worldwide.

• Drive reliability engineering initiatives, including infrastructure automation, service monitoring, incident response, and capacity planning. • Leading and participating in technical design discussions across cross functional teams. • Collaborate with application teams to define and enforce architectural best practices, CI/CD standards, and cloud-native patterns. • Diagnose complex production issues through in-depth troubleshooting and implement resilient solutions to prevent recurrence. • Contribute to the development of internal tools that improve observability, system health, and operational transparency. • Analyze and optimize existing systems, providing enhancements and ongoing support as needed. • Stay current with new technologies and proactively recommend improvements to existing cloud architectures and processes. • Develop and maintain server-side logic, data processing, and application workflows. • Mentor junior engineers and promote a culture of knowledge sharing and continuous improvement.

The objective of this role is to elevate Apple’s voice assistant and search to a new level of intelligence and accuracy through advanced machine learning techniques. We are looking for someone with a strong passion for AI-driven applications. In this role, you will develop a deep understanding of user use cases and create high-quality evaluation datasets. You will leverage large language models and search tool integrations to answer user questions across diverse everyday scenarios. A core responsibility will be conducting systematic failure analysis to continuously improve accuracy and user experience. On a day-to-day basis, your work will span model training, tool development, system integration, performance testing, and functional test design.

You will partner with developers, system and site reliability engineers and customers to understand their challenges, work through their issues and provide solutions that can be embraced widely. The ideal candidate is someone with a consistent track record, deep technical knowledge and skills in delivering large scale ,distributed complex software solutions deployed on multiple cloud platforms. This is a highly technical, hands-on role that requires a wide and deep experience in leading infrastructure and applications. The successful candidate will design and implement complete product demonstrating expertise in entire software development lifecycle. Building and maintaining relationships with diverse sets of customers that use the platform will be critical to ensure the business units are successful. We are a team of highly skilled and hardworking engineers working on this groundbreaking and constantly evolving space.

This role requires a blend of skills in software engineering, machine learning, and operations to ensure the smooth functioning of ML systems in production environments. In this role you will: - Lead the team to design and implement automation for model training, testing, validation, and deployment - Collaborate with machine learning engineers to ensure efficient deployment and scaling of ML models - Implement monitoring and alerting systems to track model performance, system health, and data drift - Optimize compute resources for cost and performance efficiency - Manage model versions to ensure traceability and reproducibility

Design, develop, and maintain automated test frameworks and suites using Java-based frameworks such as JUnit, TestNG to validate backend functionalities of our eCommerce platform. Collaborate closely with software engineers, product managers, and other team members to understand requirements and ensure comprehensive test coverage. Implement and complete test plans and test cases to ensure comprehensive test coverage. Perform API testing using tools like REST Assured to validate data integrity and functionality of backend services. As an automation specialist, you will define requirements and propose solutions to streamline the testing process with a strong commitment to ownership. Engage in in-depth technical dialogues with the engineering team, comprehend software workflows and use cases, and ensure the system's testability. Self-motivated, able to grasp issues quickly and make educated, critical judgment in the absence of complete requirements. Deliver timely and precise updates on testing status and quality metrics to collaborators throughout all testing phases, and compile Quality outcomes summary upon project completion. Strong analytical and problem-solving skills to effectively debug and resolve complex technical issues. Advocate for superior software testing practices within the team and foster adoption across the organization, promoting software development methodologies that enhance overall software quality. Adaptability to thrive in fast-paced environments with frequent context switching.

You will have the opportunity to work as part of our global strategic initiatives program, delivering real value to Apple and our partners. You will work closely with cross functional teams, understand business requirements, build high performing, scalable and robust platforms from the ground up in close collaboration with various teams around you. Engineers at Apple work on both high level and lower-level implementation details. The successful candidate will be amenable to working in a dynamic, collaborative environment. The person filling this position must be a hands-on, enthusiastic, self-motivated developer with strong initiative and desire to succeed in a challenging environment. You will have a real passion for extraordinary user experiences, an eye for details, possess keen judgement in selecting appropriate solutions and curious mind that stays updated with new technologies and best practices in software development.