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About BTSE:彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.About the Role:We are seeking a dynamic and strategic Data Product Manager to bridge the gap between product innovation and data-driven insights. This role is responsible for defining and executing a data strategy that enhances our product offerings, optimizes decision-making, and drives business growth. You will work closely with cross-functional teams—including product, engineering, data science, and analytics—to ensure that data is at the heart of our product strategy and execution.Responsibilities:Understand product values and feature details to translate them into precise data requirements.Prioritize the product-related data requests backlog to align with product strategic objectives.Address gaps in our data ecosystem by defining tracking specifications and ensuring successful implementation and launch.Comprehend the meaning of data and clearly explain its context and significance to the data team for effective analysis.Initiate data insight projects with the data team for internal sharing and continuous product improvement.Qualifications:3+ years of experiencein data, analytics, or a related roleExperience definingdata tracking / event specsand coordinating with engineering or data teamsComfortable definingdata requirements, and able to structure dashboards and metrics based on product or business needsFamiliar withtrading products and workflows(e.g. stocks, futures, or crypto), with enough hands-on exposure to understand user behavior and data needsAble tocommunicate clearlywith product, engineering, and data teamsBonus Points:Experience in the blockchain or financial technology industry.Background in data analysis or data science.Perks Benefits:Competitive salary and benefits package.Opportunity to work in a fast-paced and innovative environment.Be part of a growing and dynamic team.Make a real impact on the company's success.Various team building programs and company events.Comprehensive healthcare schemes for employees and dependants.And many more! Apply and let us tell you more!#LI-JY1

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data that seek to predict the movement of financial market Transfer data into internal infrastructure applying variety of algorithmic techniques What You’ll Bring: Have a Master’s degree or higher from a leading university in Computer Science, Electrical Engineering or other related areas Good academic record Familiar with modeling, data structures, algorithms and optimizations Strong knowledge of machine/deep learning algorithms Proficient in programming languages of both C++ and Python Possess good communication and presentation skills in English Ability to work independently and as member of a team Research scientist mindset: deep thinker, creative, strong work ethic, persevering, smart a self-starter Detail oriented and capable of multitasking and delivering in fast-paced work environment As a plus: While not mandatory, a strong interest in financial markets will definitely be beneficial Participant of ACM-ICPC By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

公司介紹 這是一家深耕台灣市場、具高度用戶滲透率的 FinTech 科技公司，長期處於高流量、高交易頻率的業務場景。產品服務已融入日常生活與金融行為，資料規模與複雜度持續成長。 目前公司正進入 數據基礎建設與治理升級的關鍵階段，高層明確將「數據驅動決策」視為下一階段成長核心，並投入資源打造更穩定、可擴展的資料平台，讓數據真正成為產品與營運的決策引擎。 這個角色將站在 公司級數據戰略中心，不只是管理團隊，而是實際參與並影響整體商業方向。 工作內容 帶領資料應用部門（資料工程、資料分析、BI / Data Science 團隊），管理約 5–10 位成員 規劃並推動 公司級 Data Platform（Data Lake / DWH / ETL / Streaming） 與工程與系統架構團隊協作，確保資料系統的 穩定性、可用性與擴展性 審視並優化資料流、事件系統、Schema 與整體資料架構設計 建立 資料治理、品質控管、權限與統計口徑制度 建構指標、Dashboard 與分析框架，支援 產品、營運、行銷與管理決策 推動 A/B Test、數據實驗與行為分析，讓決策有數據依據 作為跨部門橋樑，協調技術與商業需求，推動策略落地 使用的技術 Data Platform：Data Lake、Data Warehouse、ETL / ELT、Streaming Big Data / Pipeline：Spark、Kafka、Airflow Data Ops：Pipeline 監控、版本控管、CI/CD Cloud / Hybrid：BigQuery、Snowflake（地端為主、雲端為輔） BI / Analytics：指標設計、Dashboard、實驗分析

Applications will be reviewed on a rolling basis and it’s in the candidate’s best interest to apply early. The anticipated application window is open until March 27, 2026, but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered.Participation in the internship program requires that you are located in the Taiwan for the duration of the internship program.This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):1. In the “Resume Section:” attach an updated CV or resume.Please ensure your anticipated graduation date (in MM/YY) is listed on the resume.2. In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,” select “Now attending” to upload a transcript.Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.Google welcomes people with disabilities.Minimum qualifications: Pursuing a PhD program with a focus on subjects in software development or other technical related fields. Experience in software development and coding in one or more of the following: Python or C++. Experience with data structures or algorithms gathered from inside or outside of school or work. Preferred qualifications: Currently attending a degree program in Taiwan and available to work full time for 12 weeks outside of university term time. Penultimate academic year or returning to a degree program after completion of the internship. Programming experience in one or more of the following: C/C++, Python, CUDA. Research experience in computer architecture, embedded systems, accelerators, artificial intelligence, data mining, distributed systems, machine learning, data science, LLM, rule base or systems. Experience in computer science, with competencies in data structures, algorithms and software design. About the jobAs a Software Engineering intern, you will work on a specific project critical to Google’s needs. Software Engineering Intern:As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, implement, and manage the hardware, software, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, cloud customers and the billions of people who use Google services around the world.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Develop software for Google Cloud’s infrastructure to empower Google service and external cloud customers, with hardware platforms including compute, storage, or AI-accelerators like TPUs and GPUs. Create and support a productive and innovative team including working with peers, managers, and teams. Analyze data and evaluate results to choose the best solution to effectively solve issues. Develop scripts or use AI to automate routine tasks and manual processes. Apply knowledge gained in computer science courses to real world issues. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Role We’re looking for a Junior to Mid-level Software Engineer who is excited about DeFi, Web3 infrastructure, and data-driven systems. You’ll help build backend services and data pipelines that power on-chain trading, DeFi protocols, analytics dashboards, and reward systems. This role sits at the intersection of backend engineering, blockchain data, and financial systems. If you enjoy working with real-time data, smart contract events, and high-throughput systems — this role is for you. 我們正在尋找一位 初級至中階軟體工程師（Junior–Mid），對 DeFi、Web3 基礎建設與區塊鏈資料系統有高度興趣。 這個角色將參與支撐 鏈上交易、DeFi 協議、數據分析儀表板與獎勵機制 的系統開發。相較於純後端工程，此職位更著重於 區塊鏈資料處理、應用邏輯與金融系統的整合。 如果你喜歡處理 即時資料、智能合約事件，以及快速演進的 Web3 技術，這個角色會非常適合你。 What You’ll Work On Build and maintain services for internal DeFi and Web3 productsUnderstand and Implementing external APIs for trading, analytics, and internal toolingIngest, clean, and process on-chain data (events, logs, transactions)Process off-chain market data (prices, trades, order flow)Collaborate with blockchain, frontend, and defi engineerWrite and maintain technical documentation in English參與開發與維護支援 DeFi / Web3 產品的系統與服務建立與調整 API，供交易、分析與內部工具使用收集、解析並處理 鏈上資料（event、log、transaction）處理 鏈下市場資料（價格、成交、交易流）與 區塊鏈、與策略工程師密切合作持續優化系統效能、可擴展性與穩定性撰寫與維護英文技術文件 Who You Are 1–3 years of experience in backend, data, or software engineeringStrong interest in crypto, DeFi, and blockchain systemsComfortable learning new protocols, tools, and infrastructureAble to independently debug issues and collaborate on system designEnjoy working in a fast-moving startup environmentBackground in Computer Science, Engineering, Math, or related fields1–3 年後端、資料或軟體工程相關經驗對 加密貨幣、DeFi、區塊鏈系統有高度興趣樂於學習新協議、新工具與新架構能獨立 debug 問題，也能參與系統設計討論能適應新創快速迭代的節奏相關背景：資工、工程、數學、統計等

Responsibilities Lead the design and development of end-to-end data science projects, from business problem understanding to model deployment and monitoring.Collaborate with domain experts and cross-functional teams to translate business goals into goal-driven autonomous agent workflows.Design and implement robust RAG (Retrieval-Augmented Generation) pipelines to enhance the performance of large language model (LLM) applications.Prototype and deploy multi-agent LLM systems for planning, reasoning, and task orchestration. Build and deploy machine learning models for use cases such as recommendation systems, NLP, time-series forecasting, and computer vision.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent practical experience. 2 years of experience in software, firmware and driver development in languages such as C/C++. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Science or related technical fields. Experience designing and developing device drivers for peripherals like GPUs, PCIe Switches and connectivity buses like I2C, USB, PCIe. Experience using revision control systems like Git and Perforce. Experience in doing the debug, development, and testing work in the linux environment. Expertise in server system architecture, networking or embedded system. Expertise in problem solving, technical innovation. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a SWE Engineering Manager for the Graphics Processing Unit (GPU) Platforms Software team, you will lead the team and work with many cross-functional teams (e.g., hardware, system, data center deployment) to provide the foundational AI infrastructure that enables the state-of-the-art AI applications for Google and Cloud customers. The GPU System Software team is responsible for building GPU compute solutions that power various Google services like Google Cloud, YouTube, Deep Mind, etc. We also maintain the systems deployed in the data centers with state of the art reliability monitoring services, kernel rollouts, firmware and driver upgrades.Responsibilities Design, develop and maintain the system software stack for GPU system software. Help identify dependencies in cross functional teams and drive NPI execution with a peculiar focus on development velocity and quality. Drive System Software integration to enable next generation GPU Accelerators for Google Data Center. Data Center GPUs software/kernel driver/firmware development, integration and validation. Develop test suites that enable unit, integration and system level testing of our system software. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent practical experience. 2 years of experience in software development in languages such as C++. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Science or related technical fields. Familiarity with software for AI infrastructure, reference OS, storage. Understanding of cloud or data center compute, storage technologies. Ability to develop deep knowledge in machine learning and AI, including the underlying hardware and software stacks. Excellent problem-solving skills with the ability to grow in a fast-paced, collaborative environment. Excellent communication skills along with experience working with cross-functional teams, including engineers, product managers, and technical program managers. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will design and implement software for bootstrap and configure the Compute or Storage components, OS image deployment and node specific software as agents or offload computation, integrating with both TPU clusters and cloud infrastructure.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Collaborate with TPU Software (SW) and Hardware (HW) team and help design, develop and validate TPU based systems for standalone deployment. Build and integrate Cloud Compute software to bootstrap TPU AI Infrastructure. Drive high-quality, timely delivery of projects within your team. Partner with cross-functional leaders to shape the future of ML infrastructure. Mentor team members by providing technical guidance and fostering their growth. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Engineering, Computer Science, or equivalent practical experience. 8 years of experience in software development and programming languages like C or C++. 5 years of experience in testing and launching software products. 5 years of experience in working with embedded operating systems. 3 years of experience with software design and architecture. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience in a technical leadership role with leading project teams and setting technical direction. 3 years of experience with working in a matrixed organization involving cross-functional, or cross-business projects. About the jobThe team develops and integrates the full-stack software that enables Tensor Processing Unit (TPU) to run Artificial Intelligence (AI) computation in Google’s data centers, and empower all the AI innovations for Google and Cloud customers. The team works on the introduction of each new TPU AI server, from design, system bring up, to productionization of TPU chips, AI servers, and AI hyper-computers including thousands of machines. The team is involved in all stages of the project from concept, planning, development, deployment, and end of life in the data centers.In this role, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and the business grow and evolve. You will display leadership qualities and be enthusiastic to take on new problems across the full-stack. You will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Provide technical leadership on projects across a domain of technical areas like firmware, driver, system software, distributed systems. Align strategy, processes, and decision-making across teams. Influence and coach a distributed team of engineers. Develop the technical goals and road map within the scope of the teams. Evolve the road map to meet anticipated future requirements and infrastructure needs. Facilitate alignment across teams on goals, outcomes, and timelines. Design and guide systems designs within the scope of the area, and write product or system development code to solve problems. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions and ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zhubei, Zhubei City, Hsinchu County, Taiwan; Taipei, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 5 years of experience with industry-standard tools, languages, and methodologies relevant to the development of silicon-based ICs and chips. 5 years of experience with silicon quality or reliability. Preferred qualifications:Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related fields.12 years of experience in silicon quality or reliability.Experience in reliability modeling, data analytics, statistics, and production burn-in processes and familiar with silicon qualification test methods and hardware.Experience with material disposition, Material Review Board (MRB), RMA analysis, IC and packaging failure mechanisms.Experience in CMOS technology, semiconductor reliability, and HVM processes; proficient in IC/packaging failure mechanisms and FA/FI verification techniques.Knowledge of Design-for-Reliability (DfR) guidelines and implementation techniques, semiconductor device physics, failure mechanisms, and accelerated testing methodologies.About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google’s data centers are the most advanced in the world. In this role, you will help build the state-of-the-art SoCs that power these facilities by driving quality and reliability processes in High Volume Manufacturing (HVM) from an Integrated Circuit perspective. An understanding of IC flows, wafer processing, testing, qualification, yield, reliability, and failure analysis is essential. You will partner with cross-functional teams to develop HVM quality and reliability specifications while collaborating with global hardware teams, silicon design, validation, and engineering groups to ensure fleet excellence.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Collaborate with design, manufacturing, and hardware quality teams to ensure High Performance Computing (HPC) SoC silicon products meet requirements during mass production, including statistical yield limits (SBL/SYL), yield tracking, and excursion monitoring. Drive all quality and reliability-related activities prior to and during mass production, leading Material Review Board (MRB) efforts to disposition manufacturing issues. Drive cross-functional investigation of IC quality and reliability issues to identify root causes and develop solutions (e.g., RMA Triage, Analytics, Failure Analysis, etc.). Confirm failure symptoms and guide failure analysis (FA) to verify root causes, while supporting fleet DPPM data collection, classification, and modeling. Manage periodic Ongoing Reliability Monitoring (ORM) activities, including reject validation and comprehensive data analysis. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.