特斯拉Software Engineer，C#&Golang

You will join a dynamic team focusing on improving the cellular stability and performance of the latest iPhone/iPad/Watch. Your job responsibilities will include but not limited to below points: - Leveraging artificial intelligence (AI) technologies to execute 5G/4G cellular test jobs, analyze test results to identify in-depth and potential stability and KPI issues, generate analysis reports, and provide data-driven insights for problem resolution. - Developing natural language-based Chatbot tools tailored to the team's needs, enabling efficient information retrieval, test-related consultation, and automated interaction in the cellular stability testing workflow. - Applying AI methods to optimize the team's test strategies, test cases, and related processes for cellular stability testing, enhancing test coverage, accuracy, and resource utilization.

THE ROLE Tesla Insurance is a key business, offering innovative, data-driven solutions tailored to Tesla and non Tesla vehicle owners. By leveraging real-time vehicle data, AI, and cutting-edge technology, we provide fair, efficient coverage that enhances safety and customer satisfaction. As a Backend Software Engineer on our Ownership team, you'll join a dynamic, collaborative group of product-minded engineers passionate about building a seamless experience through scalable systems for quotes, policies, rating, underwriting, billings, AI agents, mobile and internal applications for customers and insurance agents. In this fast-paced environment, expect a blend of greenfield development, system enhancements, and strategic contributions to our architecture, with opportunities to integrate AI for smarter decision-making and drive direct impact on business growth and user experiences. We value high ownership and agency, empowering you to innovate while scaling our systems. 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. • Contribute to the complete software development lifecycle for applications, ensuring that all projects are delivered on time and meet high-quality standards • Design, develop, and maintain full stack web applications, utilizing .NET, C# and golang • Collaborate with cross-functional teams, including product managers, service engineers and other software engineers, to define and implement features that enhance operational efficiency for our customers • Ensure that web applications integrate seamlessly with backend distributed systems and support real-time monitoring, control, and reporting • Contribute to the definition and implementation of extensible design systems that prioritize scalability, maintainability, and exceptional user experiences • Implement rigorous testing strategies, including unit, integration, and end-to-end testing, to guarantee the reliability and performance of applications under various conditions • Actively maintain and promote the core values of the team, which include engineering excellence, curiosity, a bias for action, self-awareness, inclusivity, and vulnerability, contributing to a positive and productive team culture • Drive initiatives from concept to completion, from defining the business need with product experts, to conducting user interviews, culminating in feature implementation

N/A

About Ant International Headquartered in Singapore, Ant International powers the future of global commerce with digital innovation that enables everyone and every business to thrive. In close collaboration with partners, we support clients of all sizes worldwide to achieve growth aspirations through a comprehensive range of tech-driven digital payment and financial services solutions. We are seeking Java Software Engineers to join our Indonesia team. In this role, you will develop and support end-to-end financial solutions for both domestic and cross-border financial services, driving success for our global clients and globalization business. Key Responsibilities Technical Support & Troubleshooting - Provide on-site and remote technical support for financial systems, ensuring minimal downtime and rapid resolution. - Diagnose and resolve Java application, Redis caching, and MySQL database issues, including vulnerabilities and middleware challenges. - Lead containment and remediation efforts for security incidents (e.g., data breaches, unauthorized access). - Perform root cause analysis (RCA) on critical incidents and implement preventive measures. System Maintenance & Optimization - Monitor system performance, review security logs, and conduct regular health checks. - Implement patches, vulnerability management processes, and system hardening for OS/database layers. - Collaborate with development teams to deploy patches, updates, fixes, and hotfixes in production environments. Client Communication & Requirements Handling - Act as the primary technical liaison between clients and Ant teams, ensuring security requirements are aligned with technical solutions. - Advise clients on secure system configuration aligned with industry standards (e.g., PCI-DSS, PDPA). Documentation & Knowledge Sharing - Develop and maintain detailed technical documentation, including incident playbooks, troubleshooting guides, and governance protocols. - Create client-facing materials on security best practices for credit data handling. Compliance & Collaboration - Ensure compliance with cybersecurity regulations and local credit industry requirements (e.g., PDPA, audit trails, access controls). - Conduct periodic security audits and coordinate penetration testing. - Partner with CybersecurityOps teams to implement intrusion detection/prevention systems (IDS/IPS).

The Role As an experienced Software Engineer, you'll take part in the design, development, testing and support for the current and next generation of Tesla's systems. In this role, you’ll be developing highly complex applications, 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. 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, test, and deliver to production complete end-to-end fully functional solutions. • Contribute to software architecture design, and drive the application improvement. • Ensure highest technical quality of your deliverables and they are cost-effective to maintain by automation product testing from performance, feature, and security perspective. • Face end users for daily operation to continuously improve the user experience . • As a full stack developer, you are expected to work across all the tiers of our web applications. • Contribute relevant, clean, concise and quality documentation to Tesla's knowledgebase 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.

THE ROLE Tesla is seeking a highly motivated Wireless Software Development Engineer for the Wireless Systems team to develop best in class telematics solutions. The role involves design and validation of cellular (LTE and 5G) based solutions for telematics systems across Tesla vehicle platforms (S, 3, X, Y, ...). The position requires working closely with cross-functional teams. Ability to work independently, and creatively solving challenging design problems is of paramount importance. This position involves working in a dynamic and fast-paced environment with tight timing constraints. RESPONSIBILITIES o Integrate connectivity stack provided by SoC vendors into Tesla operating system o Contribute to Tesla’s wireless connectivity stack – Cellular. o Develop new features in well organized, efficient, and scalable C++ code. o Develop telemetry and analytics platform enabling data collection, analysis and visualization of data reported from Tesla fleet. o Conduct various scenarios of SW driven validations to ensure wireless connectivity performance of Tesla fleet. o Root-cause issues reported from different test scenarios and customers. o Contribute to rapid prototyping and evaluation of Tesla’s next generation wireless platforms. o Implement continuous improvements and best practices within the team, and larger organization.

The Role The Tesla IT Applications Sales & Delivery Team is responsible for building applications that support Tesla's rapid growth while delivering an exceptional customer experience. The team is dedicated to creating a consistent customer experience across Tesla's official website, mobile apps, mini-programs, and internal tools. As a Software Engineer in our team, you will primarily be responsible for software design, system implementation, configuration, and management, ensuring the smooth operation of our systems. You will proactively identify and resolve issues before they impact the production environment by implementing appropriate monitoring tools. Responsibilities Design and develop Tesla's order configuration, vehicle inventory, and matching systems/modules to support business operations in both China and the APAC markets. Perform system integrations and maintain technology upgrades. Ensure observability best practices, such as metric monitoring, logging, distributed tracing, and alerting. Monitor system performance and propose improvement recommendations for continuous optimization. Write technical documentation related to workflows, process standards, and best practices.

The Role The Tesla IT Applications Sales & Delivery Team is responsible for building applications that support Tesla's rapid growth while delivering an exceptional customer experience. The team is dedicated to fulfilling sales operation requirements and creating a consistent customer experience. As a Software Engineer in our team, you will primarily be responsible for software design, system implementation, configuration, and management, ensuring the smooth operation of our systems. You will proactively identify and resolve issues before they impact the production environment by implementing appropriate monitoring tools. Responsibilities - Design and develop Tesla's 2C and 2B services to support sales business operations in both China and the APAC markets. - Perform system integrations and maintain technology upgrades. - Ensure observability best practices, such as metric monitoring, logging, distributed tracing, and alerting. - Monitor system performance and propose improvement recommendations for continuous optimization. - Write technical documentation related to workflows, process standards, and best practices.

Apple’s CoreOS organisation is looking for an exceptional engineer intern to support and develop tools. For this position you need to work with multiple software teams to make sure all the software (BIOS, FWs, Mac OS X, diags, tools, etc.) in Macintosh system (MacBook Pro/Air, iMac, Mac mini, etc.) works well in all of the developing phases, including live debug in line, working with all software related teams to root cause and fix issues, and developing debug tools and new software functionality.

As a software engineer, you will: Design, develop, and maintain new features and enhance existing systems.Write clean, testable, and maintainable code.Troubleshoot live-site issues, deploy fixes, and improve system reliability.Work collaboratively with cross-functional teams to drive project success.Ensure security compliance by configuring, updating, and maintaining security tools and standards.

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 .NET (C#), Java (for transitional candidates), 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.

THE ROLE: Khronos3D driver team is part of AMD platform software engineering organization, G&E, responsible for Vulkan and OpenGL driver engineering over AMD GPU/APU products. We are looking for a talented Linux graphics driver engineer candidate to join our team to drive and enhance AMD graphics driver quality and achieve successful SW stack deliveries and Customer product deployment.

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 applications. The candidate is expecting to be specialized in server-side web development that is also comfortable working with the entire stack (front-end and infrastructure).  The ideal candidate will have a passion for building world-class software and a track record of success creating highly and scalable software systems. 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. • Contribute to software architecture design, and drive the application improvement • Develop enterprise-scale software introduction and subsequent roll-out to future production lines • Ensure highest technical quality of your deliverables and they are cost-effective to maintain. • Work closely with Operations, Manufacturing Engineering, Quality, and Supply Chain teams, Interact with teams of engineers from multiple disciplines • Perform software performance optimization • Automate any repetitive development tasks and bring efficiency to the team. • Ability to multi-task and manage multiple assignments in a fast-paced environment.

As an engineer in Copilot, you will be joining a team passionate about driving into Microsoft Copilot.  The team is focused on building a consistent experience across platforms, being data driven in measuring impact, reach and reliability, and works very closely with numerous internal teams.  You are responsible for implementation, measurement, rollout, and refinement of the solution.

• Collaborate with appropriate stakeholders and partners to determine user and system requirements for simplifying directory scenarios; translate scenarios into clear engineering plans. • Drive dependency mapping and author design documents for services, application programming interfaces (APIs), and data contracts that modernize directory architecture. • Act as a Designated Responsible Individual (DRI) in a rotating on‑call; monitor service health, respond to incidents, and lead restoration for complex issues. • Leverage AI and automation to elevate availability, reliability, observability, and efficiency; proactively adopt new patterns and technologies. • Partner with product manager (PM) and cross‑discipline stakeholders to plan releases and manage work items that deliver measurable modernization outcomes.

Architect, build, and optimize secure and performant AI platform services that power Microsoft Copilot and other next-generation AI scenarios. Provide technical leadership across teams to define long-term architectural direction and drive engineering excellence. Collaborate with infrastructure, platform, product, and research teams to design and deliver scalable, production-grade AI services. Write high-quality, well-tested, secure, and maintainable code and promote high standards across the team. Tackle technically ambiguous or cross-boundary problems, remove roadblocks, and drive delivery across multiple teams or organizations. Lead technical design discussions, mentor senior engineers, and foster a strong engineering culture within the team. Embody Microsoft’s Culture and Values, and help shape the direction of the engineering team and broader organization.

Architect, build, and optimize secure and performant AI platform services that power Microsoft Copilot and other next-generation AI scenarios. Provide technical leadership across teams to define long-term architectural direction and drive engineering excellence. Collaborate with infrastructure, platform, product, and research teams to design and deliver scalable, production-grade AI services. Write high-quality, well-tested, secure, and maintainable code and promote high standards across the team. Tackle technically ambiguous or cross-boundary problems, remove roadblocks, and drive delivery across multiple teams or organizations. Lead technical design discussions, mentor senior engineers, and foster a strong engineering culture within the team. Embody Microsoft’s Culture and Values, and help shape the direction of the engineering team and broader organization.

As a pivotal member of the Copilot Team, you will bring unique perspectives and expertise to the organization, driving innovative features and delivering transformative AI-powered experiences:• This is an IC role, Coding / engineering design time >70%• Manage complex projects from conception to implementation, with a focus on delivering AI-driven user interfaces and performance-optimized applications.• Coordinate technical delivery through sprints, fostering collaboration throughout the project lifecycle.• Collaborate across geographies and time zones to establish best practices and develop automated processes that mitigate development risks.• Investigate and debug complex performance issues in applications, ensuring optimal user experience and system efficiency.• Design and implement performance testing strategies to proactively address bottlenecks.• Work closely with Product Designers, Product Managers, and Engineers to deliver AI-enhanced products that delight users.• Drive team-wide investments in infrastructure and foundational systems to support long-term technical roadmaps.• Solve technical challenges to deliver outstanding outcomes for customers and the business.

The Role We are seeking a highly motivated and experienced Full-Stack Software Engineer to join our team in building and maintaining our in-house ERP application. As a key contributor to our software development efforts, you will be responsible for designing and implementing robust, scalable, and secure enterprise applications. You will collaborate closely with cross-functional teams including Product Manager, QA, and Support to deliver high-quality software solutions that meet business needs. Candidates should possess a solid foundation in computer science and software development, along with strong interpersonal and communication skills to thrive in a dynamic, team-oriented environment. Key Responsibilities: * Design, develop, test, and maintain full-stack web applications, including both front-end interfaces and back-end APIs. * Continuously optimize the application stack for performance, stability, scalability, and maintainability. * Collaborate with product managers, developers, QA engineers, and business stakeholders to define, design, and implement software solutions. * Stay current with emerging trends and technologies in web and enterprise software development. * Maintain comprehensive technical documentation, including design specifications and system requirements. * Integrate modern front-end frameworks (e.g., React) with back-end services (e.g., C# or Node.js) to build enterprise-grade applications. Essential

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 applications. The candidate is expecting to be specialized in server-side web development that is also comfortable working with the entire stack (front-end and infrastructure). The ideal candidate will have a passion for building world-class software and a track record of success creating highly and scalable software systems. 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. • Contribute to software architecture design, and drive the application improvement • Develop enterprise-scale software introduction and subsequent roll-out to future production lines • Ensure highest technical quality of your deliverables and they are cost-effective to maintain. • Work closely with Operations, Manufacturing Engineering, Quality, and Supply Chain teams, Interact with teams of engineers from multiple disciplines • Perform software performance optimization • Automate any repetitive development tasks and bring efficiency to the team. • Ability to multi-task and manage multiple assignments in a fast-paced environment.

N/A

THE ROLE: AMD is looking for a world class AI frameworks engineer who can provide technical leadership in the development of various AI frameworks in the AMD ecosystem. You will need to drive technical direction for next generation frameworks for AI model training and inference for wide variety of AMD devices, current and future, such as MI Instinct, and Radeon GPUs, XDNA devices, including the recently released Ryzen AI, Alveo V70 and Versal ACAP, and datacenter CPUs such as EPYC. You will work enhance the AI framework capabilities to enable cutting-edge models on onto AMD’s cutting-edge hardware.

职位：Global Manufacturing &Ops SDE Intern · 毕业时间：2026年10月 - 2027年7月之间毕业的应届毕业生 · 入职日期：2026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 · 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。中英文对应表请查这里（无法浏览请登录后浏览）https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2 Amazon Devices Asia team is looking for a passionate, hard-working, and talented Software Development Engineer who can build innovative & mission critical system software applications & tools. You will have an enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools. The primary responsibility of this role is developing AI-based automation technology operations platforms. This position requires the candidate to design and develop highly scalable user interfaces, data structures, algorithms. Candidate needs to collaborate with teams of smart engineers in the design, implementation, and deployment of features and system.

职位：Sustaining Operations, SDE Intern · 毕业时间：2026年10月 - 2027年7月之间毕业的应届毕业生 · 入职日期：2026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6个月 · 工作地点：上海 · 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。中英文对应表请查这里（无法浏览请登录后浏览）https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2 Amazon Devices Asia team is looking for a passionate, hard-working, and talented Software Development Engineer who can build innovative & mission critical system software applications & tools. You will have an enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools. The primary responsibility of this role is developing AI-based automation technology operations platforms. This position requires the candidate to design and develop highly scalable user interfaces, data structures, algorithms. Candidate needs to collaborate with teams of smart engineers in the design, implementation, and deployment of features and system.

职位：Sustaining Operations, SDE Intern · 毕业时间：2026年10月 - 2027年7月之间毕业的应届毕业生 · 入职日期：2026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6个月 · 工作地点：上海 · 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。中英文对应表请查这里（无法浏览请登录后浏览）https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2 Amazon Devices Asia team is looking for a passionate, hard-working, and talented Software Development Engineer who can build innovative & mission critical system software applications & tools. You will have an enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools. The primary responsibility of this role is developing AI-based automation technology operations platforms. This position requires the candidate to design and develop highly scalable user interfaces, data structures, algorithms. Candidate needs to collaborate with teams of smart engineers in the design, implementation, and deployment of features and system.

职位：Global Manufacturing &Ops SDE Intern · 毕业时间：2026年10月 - 2027年7月之间毕业的应届毕业生 · 入职日期：2026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 · 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。中英文对应表请查这里（无法浏览请登录后浏览）https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2 Amazon Devices Asia team is looking for a passionate, hard-working, and talented Software Development Engineer who can build innovative & mission critical system software applications & tools. You will have an enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools. The primary responsibility of this role is developing AI-based automation technology operations platforms. This position requires the candidate to design and develop highly scalable user interfaces, data structures, algorithms. Candidate needs to collaborate with teams of smart engineers in the design, implementation, and deployment of features and system.

THE ROLE： As a member of the off-board firmware development team, you will support our embedded software engineer on writing code for our superchargers, adapters, and various other types of charging equipment. Come join a team of knowledgeable engineers to build the next generation of robust EV charging infrastructure using cutting edge software development tools and practices. RESPONSIBILITIES： • Implement high-quality C/C++ code in a real-time embedded environment. • Specify embedded software requirements and design firmware algorithms. • Integrate and debug features at both component and system level. • Develop tests to validate functionality (unit tests, SIL, and system level). • Support with certification efforts as needed. • Bring up new hardware and debug issues. • Refactor code as needed to maintain a clean and efficient codebase. • Actively participate in team discussions to make performance and optimization trade-offs. • Respond to problems in the field and support the service team with practical, quick solutions to issues that affect the live supercharger fleet.

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.

With headquarters in Singapore and main operations across Asia, Europe, the Middle East and Latin America, Ant International is a leading global digital payment, digitisation and financial technology provider. Through collaboration across the private and public sectors, our unified techfin platform supports financial institutions and merchants of all sizes to achieve inclusive growth through a comprehensive range of cutting-edge digital payment and financial services solutions. We are seeking for Mobile iOS/Android 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. Designing and developing mobile payment applications and platform SDKs. 2. Working closely with other departments and global strategic partners to build products with excellent performance and user experience. 3. Research on new technologies.

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.

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 Senior and Junior QA 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. Understand functional and non-functional requirements of software product, design quality assurance and testing strategies for various different products. 2. Contribute to the planning and construction of a product system architecture, assess risks, resolve the design’s testability and address the system stability. 3. Innovate testing tools, testing technologies, testing platform, testing lifecycle of product R&D, improve the testing efficiency. 4. Involved in testing system setup, technology team planning, construction of testing technology platform. 5. Lead and design technology solution and architecture for system integration test, and push solution deployment and implementation. 6. Responsible for the system integration test in product deployment phase of the development lifecycle, ensure product go-live with high quality. 7. Research new technologies and new methods in testing domain, apply and promote them, improve industry influence. 8. To senior candidates, you are expected to lead a team of members and provide 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.

TCS(Tencent Cloud-native Suite) is a Cloud-Native Platform for Enterprise Cloud-Native Transformation supports on-premise bare metal or third-party IaaS deployments. Product Solutions Architect (PDSA) is a key pre-sales technical position in Tencent Cloud - TCS product team. Our PDSAs are experienced solution architects with professional knowledge and industry insight and are, ultimately, the pivotal role in supporting the global sales team by providing cloud-native solutions, striving to meet product sales targets, and leading key projects for customer onboarding. Job Responsibilities: ● Acting as a subject matter expert on Tencent Cloud - TCS products (container, microservice, message queue), providing training and enablement to the account and Solution Architect (SA) teams. ● Supporting regional events and marketing programs to promote Tencent TCS solutions to potential customers. ● Delivering optimized solutions and advocating best practices to customers by utilizing the full capabilities of Tencent TCS products. ● Gathering and analyzing customer feedback to enhance product offerings, improve market competitiveness and help build the product roadmap continually. ● Monitoring key industry trends and technological shifts, offering trusted advice to customers for optimizing their IT infrastructure and improving their user experience. ● Expanding the product ecosystem through collaboration with global channels, industrial partners and third-party Independent Software Vendors (ISVs). Creating position papers, and aligning advocacy efforts with Tencent Cloud’s core business policies across multiple departments (business, security, legal, and government affairs). ● Reporting to the Head of the product architect team, this role requires a dynamic, curious, and technology-driven candidate who thrives in challenging environments and can navigate ambiguity with strategic insight.

职责和责任： 我们正在寻找一位高级c++开发工程师，为腾讯海外游戏工作室设计和开发云上的创新服务/解决方案 我们的内部客户包括内部客户或收购游戏工作室。工作范围包括了解客户的业务需求、收集技术需求、基于领先的行业最佳实践开发参考架构和原型、领导全球各地的实施和部署，以及必要时的问题解决 我们正在寻找的人： 主观能动、自主性、执行力、学习能力强，并具有团队精神 自驱力强，善于表达，充满激情 拥有协作、独立、坚持、灵活和开放精神 以客户为导向 Work Location: China-Shanghai

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。

Team Introduction: Research & Development (R&D) Team: The R&D team is dedicated to building and maintaining industry-leading products that drive the success of 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. Research Project Introduction: As the world's leading short-video platform, we faces multiple challenges in its recommendation systems, including data sparsity for new users leading to insufficient personalisation, high timeliness requirements for live steaming recommendations, difficulty in maintaining user interest diversity, and complex e-commerce recommendation system chains. Traditional recommendation methods heavily rely on historical behaviour modeling, which struggles with the cold-start problem for new users. Live-streaming recommendations demand real-time responsiveness to rapidly changing content dynamics (e.g., host interactions, traffic fluctuations) within extremely short time windows (typically within 30 minutes) posing higher demands on the system's real-time perception and decision-making capabilities. Additionally, the immersive single-feed format amplifies the challenge of maintaining content diversity, requiring a careful balance between multi-interest learning and the risk of content drift caused by exploratory recommendations. The current e-commerce recommendation system follows a multi-stage funnel architecture (recall–ranking–re-ranking), which often leads to inconsistent chains, high maintenance costs, and an overreliance on short-term value prediction. This leads users to fall into content homogenization fatigue. To address these pain points, this project proposes leveraging large language models (LLMs) and large model technologies to achieve significant breakthroughs. On one hand, LLMs—with their vast knowledge base and few-shot reasoning capabilities—can infer new users' potential intentions from registration data and external knowledge, thereby alleviating cold-start issues. On the other hand, by integrating graph neural networks (GNNs) and full-lifecycle user behavior sequences for modeling social preferences, we aim to improve the accuracy of interest prediction. Additionally, the project explores the generalization capabilities, long-context awareness, and end-to-end modeling strengths of large models to simplify the e-commerce recommendation chains, enhance adaptability to real-time changes, and improve exploratory recommendation effectiveness. The ultimate goal is to build a more streamlined system with more accurate recommendations, enhancing user experience and retention while driving sustainable business growth. 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。目前在北京，上海，杭州、广州、深圳分别开放多个岗位机会。 课题介绍： TikTok作为全球领先的短视频平台，面临新用户数据稀疏导致的个性化推荐不足、直播推荐时效性要求高、用户兴趣多样性维护困难以及电商推荐系统链路复杂等多重挑战。传统推荐方法依赖历史行为建模，难以解决新用户冷启动问题，且直播推荐需在极短窗口期内（通常30分钟内）实时捕捉内容动态变化（如主播互动、流量波动），这对系统的实时感知与快速决策能力提出更高要求。此外，单列沉浸式场景放大了多样性问题，需平衡多峰兴趣学习与探索引发的内容穿越风险。当前电商推荐系统采用多阶段漏斗架构（召回-排序-混排），存在链路不一致、维护成本高、过度依赖短期价值预测等问题，导致用户易陷入内容同质化疲劳。 针对上述痛点，项目提出结合大语言模型（LLM）和大模型技术实现突破：一方面利用LLM的海量知识储备与Few-shot推理能力，通过注册信息与外部知识推理新用户潜在意图，缓解冷启动问题；另一方面，在社交偏好建模中融合GNN与用户全生命周期行为序列，提升兴趣预测精准度。同时，探索大模型的泛化能力、长上下文感知及端到端建模优势，简化电商推荐链路，增强实时动态适应性与兴趣探索能力，最终实现系统更简洁、推荐更精准、用户体验与留存双提升的目标，推动业务可持续增长。

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: As the world's leading short-video platform, TikTok faces multiple challenges in its recommendation systems, including data sparsity for new users leading to insufficient personalisation, high timeliness requirements for live steaming recommendations, difficulty in maintaining user interest diversity, and complex e-commerce recommendation system chains. Traditional recommendation methods heavily rely on historical behaviour modeling, which struggles with the cold-start problem for new users. Live-streaming recommendations demand real-time responsiveness to rapidly changing content dynamics (e.g., host interactions, traffic fluctuations) within extremely short time windows (typically within 30 minutes) posing higher demands on the system's real-time perception and decision-making capabilities. Additionally, the immersive single-feed format amplifies the challenge of maintaining content diversity, requiring a careful balance between multi-interest learning and the risk of content drift caused by exploratory recommendations. The current e-commerce recommendation system follows a multi-stage funnel architecture (recall–ranking–re-ranking), which often leads to inconsistent chains, high maintenance costs, and an overreliance on short-term value prediction. This leads users to fall into content homogenization fatigue. To address these pain points, this project proposes leveraging large language models (LLMs) and large model technologies to achieve significant breakthroughs. On one hand, LLMs—with their vast knowledge base and few-shot reasoning capabilities—can infer new users' potential intentions from registration data and external knowledge, thereby alleviating cold-start issues. On the other hand, by integrating graph neural networks (GNNs) and full-lifecycle user behavior sequences for modeling social preferences, we aim to improve the accuracy of interest prediction. Additionally, the project explores the generalization capabilities, long-context awareness, and end-to-end modeling strengths of large models to simplify the e-commerce recommendation chains, enhance adaptability to real-time changes, and improve exploratory recommendation effectiveness. The ultimate goal is to build a more streamlined system with more accurate recommendations, enhancing user experience and retention while driving sustainable business growth. 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： TikTok作为全球领先的短视频平台，面临新用户数据稀疏导致的个性化推荐不足、直播推荐时效性要求高、用户兴趣多样性维护困难以及电商推荐系统链路复杂等多重挑战。传统推荐方法依赖历史行为建模，难以解决新用户冷启动问题，且直播推荐需在极短窗口期内（通常30分钟内）实时捕捉内容动态变化（如主播互动、流量波动），这对系统的实时感知与快速决策能力提出更高要求。此外，单列沉浸式场景放大了多样性问题，需平衡多峰兴趣学习与探索引发的内容穿越风险。当前电商推荐系统采用多阶段漏斗架构（召回-排序-混排），存在链路不一致、维护成本高、过度依赖短期价值预测等问题，导致用户易陷入内容同质化疲劳。 针对上述痛点，项目提出结合大语言模型（LLM）和大模型技术实现突破：一方面利用LLM的海量知识储备与Few-shot推理能力，通过注册信息与外部知识推理新用户潜在意图，缓解冷启动问题；另一方面，在社交偏好建模中融合GNN与用户全生命周期行为序列，提升兴趣预测精准度。同时，探索大模型的泛化能力、长上下文感知及端到端建模优势，简化电商推荐链路，增强实时动态适应性与兴趣探索能力，最终实现系统更简洁、推荐更精准、用户体验与留存双提升的目标，推动业务可持续增长。

Team Introduction Our E-commerce is a content-driven commerce business built on globally-oriented short video platforms. Our mission is to become the go-to platform for users to discover and access high-quality products at great prices. Through multiple scenarios such as livestream e-commerce and video e-commerce, we aim to deliver a more personalized, proactive, and efficient shopping experience for users, while offering merchants a reliable platform to grow their business. We are committed to making great-value products easy to sell and easy to find across more regions, bringing a better life within reach for everyone. We invite you to grow with us, explore, innovate, and unlock your full potential as we tackle both technical and business challenges together. Our team brings rich experience in international product development, embraces diverse cultures, and operates R&D teams across the globe. Join us in facing the exciting challenges of cross-border collaboration, with opportunities for business travel and international assignments waiting for you! Project Introduction: As the world's leading short-video platform, TikTok faces multiple challenges in its recommendation systems, including data sparsity for new users leading to insufficient personalisation, high timeliness requirements for live steaming recommendations, difficulty in maintaining user interest diversity, and complex e-commerce recommendation system chains. Traditional recommendation methods heavily rely on historical behaviour modeling, which struggles with the cold-start problem for new users. Live-streaming recommendations demand real-time responsiveness to rapidly changing content dynamics (e.g., host interactions, traffic fluctuations) within extremely short time windows (typically within 30 minutes) posing higher demands on the system's real-time perception and decision-making capabilities. Additionally, the immersive single-feed format amplifies the challenge of maintaining content diversity, requiring a careful balance between multi-interest learning and the risk of content drift caused by exploratory recommendations. The current e-commerce recommendation system follows a multi-stage funnel architecture (recall–ranking–re-ranking), which often leads to inconsistent chains, high maintenance costs, and an overreliance on short-term value prediction. This leads users to fall into content homogenization fatigue. To address these pain points, this project proposes leveraging large language models (LLMs) and large model technologies to achieve significant breakthroughs. On one hand, LLMs—with their vast knowledge base and few-shot reasoning capabilities—can infer new users' potential intentions from registration data and external knowledge, thereby alleviating cold-start issues. On the other hand, by integrating graph neural networks (GNNs) and full-lifecycle user behavior sequences for modeling social preferences, we aim to improve the accuracy of interest prediction. Additionally, the project explores the generalization capabilities, long-context awareness, and end-to-end modeling strengths of large models to simplify the e-commerce recommendation chains, enhance adaptability to real-time changes, and improve exploratory recommendation effectiveness. The ultimate goal is to build a more streamlined system with more accurate recommendations, enhancing user experience and retention while driving sustainable business growth. 团队介绍 ： 国际电商是以国际化短视频产品为载体的内容电商业务，致力于成为用户发现并获取优价好物的首选平台，在直播电商、视频内容电商等多场景下，国际电商业务希望能为用户提供更个性化、更主动、更高效的消费体验，为商家提供稳定可靠的平台服务，在更多的地区实现没有难卖的优价好物，让美好生活触手可得的使命。我们邀请你来此成长、钻研，发掘无限的潜力，一起应对技术和业务上的挑战。目前团队拥有丰富的国际化产品研发经验，包容多元的文化，且在全球设立研发团队，邀请你来一起接受跨国合作的挑战，还有出差外派机会在等你！ 课题介绍： TikTok作为全球领先的短视频平台，面临新用户数据稀疏导致的个性化推荐不足、直播推荐时效性要求高、用户兴趣多样性维护困难以及电商推荐系统链路复杂等多重挑战。传统推荐方法依赖历史行为建模，难以解决新用户冷启动问题，且直播推荐需在极短窗口期内（通常30分钟内）实时捕捉内容动态变化（如主播互动、流量波动），这对系统的实时感知与快速决策能力提出更高要求。此外，单列沉浸式场景放大了多样性问题，需平衡多峰兴趣学习与探索引发的内容穿越风险。当前电商推荐系统采用多阶段漏斗架构（召回-排序-混排），存在链路不一致、维护成本高、过度依赖短期价值预测等问题，导致用户易陷入内容同质化疲劳。 针对上述痛点，项目提出结合大语言模型（LLM）和大模型技术实现突破：一方面利用LLM的海量知识储备与Few-shot推理能力，通过注册信息与外部知识推理新用户潜在意图，缓解冷启动问题；另一方面，在社交偏好建模中融合GNN与用户全生命周期行为序列，提升兴趣预测精准度。同时，探索大模型的泛化能力、长上下文感知及端到端建模优势，简化电商推荐链路，增强实时动态适应性与兴趣探索能力，最终实现系统更简洁、推荐更精准、用户体验与留存双提升的目标，推动业务可持续增长。

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.

• 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.

- 负责整车空气动力学性能的开发工作，从气动性能角度为整车外形提供设计指导及优化方案； - 负责与汽车设计团队及工程团队的协调沟通来推动气动优化工作； - 负责统筹安排整车空气动力学性能开发过程中仿真与试验验证的工作； - 负责整车CFD仿真优化及算法开发验证，包含数据准备、仿真计算、结果分析及提出优化方案等工作； - 负责整车空气动力学风洞试验，包含油泥模型制作、试验样件制作、试验样车跟踪确认、试验方案准备、试验开展及试验结果分析等工作. Responsibilities: - Responsible for the development of the vehicle's aerodynamic performance, and provide design guidance and optimization from the perspective of aerodynamic performance; - Responsible for coordinating with the design team and engineering team to implement aerodynamic optimization; - Responsible for coordinating and arranging the CFD simulation and wind tunnel test during the development of the vehicle's aerodynamic performance; - Responsible for vehicle CFD simulation and methodology development, including data preparation, simulation calculation, result analysis and proposed optimization plan; - Responsible for vehicle aerodynamic wind tunnel test, including clay model preparation, RP model preparation, test vehicle preparation, test plan preparation, test running and test result analysis.

1. Responsible for the overall architecture design and planning of the chassis by wire, and formulate technical routes and programs; 2. Work closely with hardware engineers and software engineers to design the electrical and electronic architecture, and develop control strategies and algorithms to realize the intelligent control of the chassis by wire system; 3. Conduct safety analysis based on chassis by wire functional architecture and definition, develop safety requirements at function level , and participate in the safety design of each function; 4. Be responsible for data collection and analysis during the testing process, timely detection and resolution of problems during testing, and optimization and improvement of the system; 5. Participate in fault diagnosis and troubleshooting of chassis by wire system, establish the FMEA system, and formulate the corresponding fault response measures; 6. Participate in the discussions of chassis by wire regulations or technical standards in Europe and globally, translate the content into system or safety design requirements, and into the software and hardware design of EMB. Represent Li Auto in the regulatory or technical standard discussions to propose suggestions or comments.

1、负责车载导航、导航后台、全域智驾等出行类相关产品的测试全流程，建设出行类产品相关质量体系； 2、评审产品需求、研发概要设计、设计测试用例，制定测试计划及方案、制定并迭代优化测试标准，保障产品的全流程交付上线； 3、制定合适的测试方案，包含但不限于依靠台架、实车等手段，保障出行产品的功能、性能及稳定性； 4、独立lead单条业务线的交付，保障从需求评审到发布上线，配合业务合作方完成需求的顺利发布，对项目节奏及风险把控度高； 5、独立搭建移动端自动化测试框架能力，深度参与持续集成能力构建。有独立编写测试平台工具经验并给业务带来可量化的测试效率提升； 6、探索前沿技术，通过技术手段，解决业务痛点、难点，从而提升业务交付质量及效率。 Job Responsibilities: 1. Responsible for the testing process of travel-related products such as in-vehicle navigation, navigation background, and global intelligent driving, and build a quality system for travel-related products. 2. Review product requirements, R&D outline design, design test cases, formulate test plans and programs, formulate and iteratively optimize test standards, and ensure the full process delivery and launch of products. 3. Formulate appropriate test plans, including but not limited to relying on benches, real vehicles and other means to ensure the function, performance and stability of travel products. 4. Independently lead the delivery of a single business line. Ensure that from demand review to release and launch, cooperate with business partners to complete the smooth release of requirements. High control of project rhythm and risk. 5. Independently build the ability of mobile terminal automated testing framework, and deeply participate in the construction of continuous integration capabilities. Have experience in independently writing test platform tools and bring quantifiable test efficiency improvements to the business. 6. Explore cutting-edge technologies, solve business pain points and difficulties through technical means, and thus improve the quality and efficiency of business delivery.

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.

In this role, you will work with software and hardware engineering groups to define the cutting edge of next-generation AI SOC chips for high-performance computing platform in Data Center. * as a design engineer, strong coding skill of system Verilog or Verilog to implement RTL design, develop SOC domain system/interface IP for various SOCs * familiar with ASIC flow to create complex SOCs with advanced methodologies more efficient, participated 3rd party IP integration * strong problem solving and solution for SOC design and IP integration, timing closure, silicon bring up and issue debug * Documents the high-level architecture specification that defines the chip with various sub-systems for the cutting-edge cloud applications. * Works closely with PD, power, system, and verification team to bring up the subsystem

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