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10.9萬獎勵金!第五屆T大使募集:運動科技人才(南部_昇陽自行車國際、愛吠的狗娛樂)

  • 高雄市新興區
  • 經歷不拘
  • 專科

時下最火數位能力大躍進,20週培訓完全0費用, 由專家帶領實作,助您取得數位轉型實戰經驗! 【申請資格】(可接受20週訓練期,每周訓練天數依不同實作場域而定) ★應屆畢業生:113年畢業之教育部認可國內外大專院校以上學歷 ★職場新手:110年後畢業之教育部認可國內外大專院校以上學歷 (110-113年大專院校以上畢業,目前就讀研究所亦可參加) 【計畫優勢】改寫你的未來 ◆企業導師帶領 各領域業師無私傳承,以小組方式循環漸進帶領青年前進。 ◆實戰成果產出 理論與實務並進,企業合作落實數位轉型實作案,累積實戰經驗。 ◆實作獎勵與考照補貼 獎勵金高達10.9萬,且能獲得6仟元國際證照考照補助。 ◆掌握就業機會 提供多元就業管道媒合,暢通你的求職之路。 【培訓項目】依需求選擇學習模式 ★企業專班—基礎培訓1週+企業實作19週,適合已有專業基礎者 【實作企業與培育名稱】 1.昇陽自行車國際股份有限公司_自行車智慧騎旅創新服務專業人才育成 2.愛吠的狗娛樂股份有限公司_ 數位內容工程、美術與專案人才培育 【培訓方式】 依青年錄取條件與志願安排實作場域:團隊共識活動、線上課程、實體研討、轉型企業實作等活動。(最終培訓內容將由主辦單位協調安排)

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10.9萬獎勵金!第五屆T大使募集:其他領域人才 (台中_樂美館股份有限公司)

  • 台中市大里區
  • 經歷不拘
  • 專科

時下最火數位能力大躍進,20週培訓完全0費用, 由專家帶領實作,助您取得數位轉型實戰經驗! 【申請資格】(可接受20週訓練期,每周訓練天數依不同實作場域而定) ★應屆畢業生:113年畢業之教育部認可國內外大專院校以上學歷 ★職場新手:110年後畢業之教育部認可國內外大專院校以上學歷 (110-113年大專院校以上畢業,目前就讀研究所亦可參加) 【計畫優勢】改寫你的未來 ◆企業導師帶領 各領域業師無私傳承,以小組方式循環漸進帶領青年前進。 ◆實戰成果產出 理論與實務並進,企業合作落實數位轉型實作案,累積實戰經驗。 ◆實作獎勵與考照補貼 獎勵金高達10.9萬,且能獲得6仟元國際證照考照補助。 ◆掌握就業機會 提供多元就業管道媒合,暢通你的求職之路。 【培訓項目】依需求選擇學習模式 ★企業專班—基礎培訓1週+企業實作19週,適合已有專業基礎者 【實作企業與培育名稱】 樂美館股份有限公司_遊戲與藝術完美結合:新時代人才計畫 ▲樂美館提供完整的遊戲美術服務,包括2D原畫設定、3D場景整合、角色模型與動作,以及線上直播和Mocap攝影棚等服務,旨在垂直整合遊戲美術環節,達到最佳的視覺效果。同時提供專業的工作環境,讓美術人才在不同專案中成長,掌握最新的業界技術。 ▲3D製作 課程㇐:專案管理基礎知識、數位工具基礎介紹、基礎建模概念 課程二:數位工具運用(QA)、進階建模概念講解、進階模型製作、繪製貼圖方法及技巧 課程三:數位工具運用(Project)、進階建模概念講解、進階模型製作、繪製貼圖方法及技巧、硬表面複雜化結構模型解製作 課程四:數位典藏的定義及目的、實際專案演練、專案管理應用實務、跨職能協調溝通 【培訓方式】 依青年錄取條件與志願安排實作場域:團隊共識活動、線上課程、實體研討、轉型企業實作等活動。(最終培訓內容將由主辦單位協調安排)

0~5人應徵

4/24 遊戲機率設計工程師

  • 高雄市三民區
  • 經歷不拘
  • 大學

1.遊戲玩法及規則設計、規劃遊戲流程、撰寫規格文件。 2.熟悉機率論、排列組合、馬可夫鏈、期望值計算。 3.數學模型建立、使用Excel建立遊戲之數學模型。 4.撰寫模擬程式,產生統計分析所需之數據,檢驗演算法與數學模型之正確性。 5.遊戲調性調整,透過數值分析觀察市場生態,調配符合市場之遊戲調性。

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4/24 Hardware Test Engineer

  • 彰化縣溪湖鎮
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • 3 years of experience with test methodologies, planning, execution, as a lead, individual contributor, or a supporting role in a data center environment. • 3 years of experience with hardware testing, process validation, or software testing. • Experience with systems integration processes and validating those systems. Preferred qualifications: • Experience troubleshooting functional and integration test failures that impact multiple engineering disciplines. • Experience leading projects, and/or programs consisting of integration and verification functions. • Understanding of the overall systems integration process, with the ability to put comprehensive test procedures in place. • Ability to effectively work with and communicate with all levels of management and individual contributors on the team. • Ability to make data driven decisions. • Strong written and verbal communication skills. About the job The End to End Validation (E2EV) team within Global Server Operations (GSO) ensures that this equipment is reliable, scalable, can be deployed and maintained effectively. The E2E Validation team’s mission is to perform product level acceptance testing of a wide array of new hardware by evaluating products intended for Google data centers against requirements that span safety, security, serviceability, and reliability. The E2E Validation team ensures that this equipment can be quickly and successfully integrated in the data center environment while being reliable and maintainable. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities • Work with design engineering teams to provide GSO-centric insights into product design that ensure scalable adoption of new technologies. • Author detailed, product tailored test plans for data center products, as well as test reports that provide valuable insights to partners and product development teams. • Develop high quality testing approaches for highly complex systems (e.g., validating the interaction of multiple pieces of equipment at the integrated system and subsystem levels). • Ensure on time delivery of test cases while gathering critical data and documenting test life cycle (setup, execution, etc.). • Identify and implement opportunities for leveraging automation wherever possible to ensure the quick execution of test and report processes.

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0~5人應徵

4/24 Software Engineer, Machine Learning Compilers, Silicon

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. • 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++). • Experience with data structures or algorithms. Preferred qualifications: • Master’s degree in computer science, or a related technical field. • Experience with compilers (e.g., optimization, parallelization, etc.). • Experience in Multi-Level Intermediate Representation (MLIR) and/or Low Level Virtual Machine (LLVM). • Experience with compiler development in the context of accelerator-based architectures. • Experience in optimizing ML models for inference. About the job Google'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. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Work as part of the EdgeTPU compiler team, including analyzing and improving the compiler quality and performance on optimization decisions, correctness and compilation time. • Develop parallelization and scheduling algorithms to optimize compute and data movement costs to execute Machine Learning (ML) workloads on the EdgeTPU. • Work with EdgeTPU architects to design future accelerators, the hardware/software interface, and co-optimizations of the next generation EdgeTPU architectures. • Work on efficient mapping of Generative AI models and other key workloads into EdgeTPU instructions through the compiler. • Collaborate with ML model developers, researchers, and EdgeTPU hardware/software teams to accelerate the transition from research ideas to excellent user experiences running on the EdgeTPU.

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4/24 Post-Silicon Validation Engineer, Analog

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience. • 8 years of experience with lab equipment, silicon bring-up, and debug of Analog and mixed signal subsystems. • Experience with hardware validation cycles, triage, and measurement methods. Preferred qualifications: • Master's degree in Electrical Engineering, Computer Engineering, or a related field. • 10 years of experience in electronic tests, validation, and debugging post-silicon issues. • Experience in Analog and mixed signal subsystems including PLLs, FLLs, Clock Dividers, and proteanTec sensors. • Familiarity with lab test automation in Python and Linux environments. About the job Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users. With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Develop and execute silicon characterization tests for Analog and mixed signal subsystems. • Collaborate with design and validation leads to enable silicon bring-up, design validation, and rapid triage. • Work with internal test engineers, partner engineers, and contract manufacturers on debugging Return Merchandise Authorizations (RMAs) and software driver development. • Approve measurement-based data results from lab experiments. • Drive cross-functional collaboration on validation plans, troubleshooting issues, and documenting results.

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4/24 Silicon Product Engineer

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • 10 years of experience in VLSI technologies, product and test engineering, and semiconductor processing. • Experience in Automated Test Equipment (ATE) or system-level testings using AdvanTest or UFlex systems. Preferred qualifications: • Experience in system-level testing using Advantest SLT platform. • Familiarity with Automatic Test Equipment (ATE) test platforms such as Advantest 93K, Teradyne UltraFlex SoC test system. • Familiarity with ML-based statistical automation to improve test cost, coverage and quality in the semiconductor Industry. • Familiarity with advanced packaging such as 2.5d, InFo. • Familiarity with process technology, and how it relates to design and testing data analysis (e.g., wafer sort, final test). About the job Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users. In this role, you will help develop and deploy a comprehensive test solution using Automatic Test Equipment (ATE) for final product's performance and power specifications. You will help integrate SoC technologies into devices and facilitate ATE manufacturing testing of SoC to validate performance and screen out devices. You will own all aspects of testing and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high-quality SoCs. You will work with various groups to develop digital and mixed signal tests and automation methodologies, develop/support internal tools for test program generation, vector tracking, test program release, etc. You will also work on releasing cost effective production test solutions into mass production.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Perform SoC AI-centric product specifications and DFT Architecture reviews and generate NPI characterization, test, or manufacturing plans. • Support test hardware design (e.g., probe card, Load board) requirements, ATE/SLT test program review, and work for test coverage to achieve <250 DPPM. • Perform Die/Package level bring-ups, troubleshoot different failure modes and help resolve issues by collaborating with cross-functional teams. • Conduct reviews, generate reports to meet the product's AI performance and power goals. • Support OSAT bring-up, timley ATE/SLT manufacturing test programs releases and meet test cost goals.

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4/24 Senior Thermal Engineer, Google Cloud

  • 台北市信義區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Thermal Engineering, Mechanical or Product Design, a related field, or equivalent practical experience. • 5 years of experience in design and analysis/development of thermal solutions (e.g., servers, storage. switches, etc.). • 5 years of experience with CFD (e.g., FloTherm/Icepak or equivalent), thermal analysis techniques, pipe flow (pressure drop) calculations, and structural modeling techniques. • Experience with heat pipes, vapor chambers, heatsinks, thermal interface materials, fans, liquid cooling, or heat exchangers. Preferred qualifications: • Master's degree, PhD, or equivalent practical experience. • Experience working with cooling strategies used for package, boards, systems, and data centers. • Experience working with ODM, cooling systems, and component suppliers. • Experience in one or more advanced cooling techniques (e.g., liquid cooling, thermal interface materials, thermo-electric devices, two-phase heat transfer, or heat exchangers). • Experience capturing temperature, pressure, velocity, power, flow rates, acceleration, displacement, sound, FloTHERM, IcePak, and CAD. About the job Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities • Influence product design by providing thermal engineering insight into the technology roadmap, identify and scope innovation opportunities and technology risks, and contribute to overall system architecture. • Design thermal management hardware, material selection, heat sinks, air movers, pumps, and supporting equipment, and work with internal manufacturing teams and external fabrication vendors during the product development cycle. • Contribute to overall system architecture and make interdisciplinary tradeoffs to optimize TCO of overall compute infrastructure. • Develop specifications and test procedures to ensure desired reliability and performance of electronic equipment, collaborate, supervise, and motivate suppliers to design and develop products.

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4/24 Manufacturing Engineering Manager, Thermal and Mechanical Commodity

  • 台北市信義區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Mechanical, Industrial, Process, Manufacturing Engineering, or equivalent practical experience. • 15 years of experience in the manufacturing process and product development for thermal/mechanical parts. • Experience developing technical relationships with contract manufacturers. • Experience with manufacturing best practices, DFx, and production line development. • Experience in a people manager role managing one or more teams. Preferred qualifications: • Master's degree in Industrial, Mechanical, Manufacturing Engineering, a related discipline, or equivalent practical experience. • Experience with thermal/mechanical manufacturing processes including tooling, and production line development. • Experience with metals processing (e.g., Machining, Brazing, Soldering, Skiving, Zipper Fin stamping, etc.). • Experience delivering manufacturing solutions, resolving issues, leading yield improvements and cycle time reductions for parts and assemblies. • Experience with thermal designs and simulations. • Excellent communication skills, with the ability to collaborate with multi-geo teams on projects spanning multiple technologies. About the job Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art infrastructure. As a Manufacturing Engineering Manager, you lead a team of thermal and mechanical engineers to evaluate the product designs, create the processes, tools and procedures powering Google’s technical infrastructure. When vendors manufacture our infrastructure components, you’re ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the pieces of Google’s infrastructure fit together perfectly and keep our systems running smoothly for a seamless user experience.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities • Build and manage a team responsible for performing the Thermal and Mechanical Manufacturing Engineering functions for Google's Platform products. • Develop objectives for the team, align with product roadmap, and assess and manage team performance through regular staff meetings, one on ones, and quarterly assessments. • Evaluate team workload, develop staffing plans, assign projects, and balance workload.  • Provide manufacturing engineering support in supplier selection, qualification, and management. • Provide support for manufacturing and field quality issues, own resolution of manufacturing/supplier issues, and drive design issues cross-functionally.

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4/24 Product Design Engineer, Pixel Phones

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Mechanical Engineering, Product Design, a related field, or equivalent practical experience. • 10 years of experience designing mechanical components (e.g., plastic or metal parts, mechanical assemblies, printed circuit boards, or flexes). • Experience using computer-aided design tools (e.g., NX, Creo, or Solidworks). Preferred qualifications: • 12 years of experience in consumer product design. • Experience shipping multiple consumer products in a lead or senior engineer role. • Experience collaborating with suppliers on part manufacturing and final assembly, and onsite factory support. • Experience with system integration, electro-mechanical components (e.g., audio, display, camera, antenna, etc.), waterproofing, thermals, grounding, or product architecture. • Experience with NX and Teamcenter. • Knowledge of multiple manufacturing methods used in consumer products. About the job As a member of a fast-paced multi-disciplinary team, you use your creativity and diverse range of engineering experience to explore solutions to a variety of engineering problems. As a mechanical engineer, you participate in the design, analysis, and prototyping of new concepts. You work in a manufacturing and product oriented development environment and collaborate with vendors and outside sources in order to see parts through to manufacture. As a Product Design Engineer, you’ll design the next generation of Pixel phones. You will drive the design, analysis, and prototyping of new concepts while working in a manufacturing and product-oriented development environment. You will work on a Product Design team that balances comfort, performance, and appearance in an innovative and harmonious design that complements and enables the technology. You’ll collaborate with external vendors and internal cross-functional teams such as Electrical Engineering, Antenna, Industrial Design, Reliability, Operations, Camera, and Product to define and deliver products. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Responsibilities • Design a subsystem or multiple individual parts from concept to production. • Collaborate with suppliers of subsystems or individual parts throughout the design and manufacturing process. • Identify the root cause of design, manufacturing, or reliability issues and develop corrective actions. • Balance design considerations (e.g., functionality, sustainability, reliability, human factors, manufacturability, and aesthetics).

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4/24 Test Engineer, Pixel Apps and User Experience

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor’s degree in Computer Science, Electrical Engineering, related technical field, or equivalent practical experience. • 3 years of experience in automated testing and test automation tools. • Experience coding and programming using Java, Python, or similar programming languages. Preferred qualifications: • Master's degree or PhD in Computer Science, Electrical Engineering, or a related field. • 4 years of experience providing technical leadership and leading projects (e.g., test, release, etc.). • Experience developing mobile device integrated tools, designing automated internal frameworks, building monitoring systems, or improving testing effectiveness. • Knowledge of system components, interfaces, and protocols on mobile devices (e.g., touch, display, camera, audio, cellular, wi-fi, bluetooth, network protocols, power and battery, system performance, multimedia, sensors, security, NFC, USB, etc.). About the job At Google, our philosophy is build it, break it and then rebuild it better. That thinking is at the core of how we approach testing at Google. Unlike roles with similar names at the other companies, Test Engineers at Google aren't manual testers -- you write scripts to automate testing and create tools so developers can test their own code. As a Test Engineer, you navigate Google's massive codebase, identify weak spots and constantly design better and creative ways to break software and identify potential problems. You'll have a huge impact on the quality of Google's growing suite of products and services. You use your knowledge of testing and testability to influence better software design, promote proper engineering practice, bug prevention strategies, testability, accessibility, privacy, and other advanced quality concepts across products. Pixel devices bring the Android, Google Hardware, AI, and first-party Software Apps and experiences together to the users. The Pixel Test Engineering team is responsible for developing tests, automations, infrastructure, and processes to validate Google's features on Pixel products at scale. As a Test Engineer in Pixel software testing, you will be responsible for building and driving the Pixel software test strategy, and working with multiple Pixel development teams and Android feature teams across different regional offices. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities • Drive the strategy for automation tools or scripts to improve product and engineering health. • Deliver test plans based on Product test strategies, and own test plan reviews with engineers and other stakeholders across functions. • Guide the test framework, test preconditions, and other test control and reporting functions. • Own opportunities and manage efforts to improve existing test infrastructure or create new test infrastructure to increase efficiency and productivity in test case development, scheduling, or deployment. • Lead product design reviews with product managers, software/hardware engineers, and other stakeholders to contribute to product design, testability, and implementation.

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4/24 System Software Engineer, Servers Software, Google Cloud Platform

  • 台北市信義區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience. • 2 years of experience in system software development and testing (e.g., firmware, BIOS, BSP, Linux kernel, BMC, device drivers, and system libraries). • Experience with Unix/Linux environments. • Experience coding in C or C++. Preferred qualifications: • Master's degree or PhD in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. • Experience with developer operations, release management, integration testing, open source development or Open Compute Projects (OCP). • Experience in server system software development with Linux Boot, coreboot, boot loader, or Linux kernel. • Experience in Python/Go and scripting languages (e.g. shell). About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities • Design and implement the system software for servers to support various workloads and manageability needs. • Design and implement tools for automating diagnostics, performance evaluation, and reliability assurance for servers. • Collaborate with internal and external partners to plan and execute the engineering programs, including product development and productivity improvements. • Contribute innovative ideas and skills to the team.

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4/24 AI architecture and Performance Architect, CPU

  • 新北市板橋區
  • 經歷不拘
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Minimum qualifications: • Master's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. • 6 years of experience in the industry in high-performance CPU, DSP, AI architecture, microarchitecture, performance, or design. • Experience in performance modeling, analysis, correlation, and workload characterization. • Experience in C/C++ and scripting languages, e.g., Python. Preferred qualifications: • PhD in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing on computer architecture or machine learning. • Experience in leading CPU, DSP, or AI microarchitecture exploration, performance model development, performance analysis, and workload characterization. • Knowledge with processor instruction set architecture (e.g., ARM, RISC-V, x86). • Knowledge of system software components, such as Linux, drivers, and runtime. • Ability to communicate in English fluently to communicate with US or EMEA teams. About the job As a CPU-AI architecture and performance architect, you'll be the key contributor to improve processor instruction set architecture, to develop innovative microarchitecture features, and to deliver Google’s SoC products. You’ll have the opportunity to collaborate with talents in Google’s Android applications and Google’s AI teams to plan and conduct application and benchmark performance analysis and to project their performance at various design phases. Responsibilities • Plan and evaluate ARM’s architecture features from both architecture and performance angles. • Develop a performance model for performance analysis and microarchitecture study. • Define and write CPU-AI micro-architecture specifications. • Lead collaborate with RTL,  design verification, and physical design teams to develop a high performance and efficient CPU-AI implementation. • Drive performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon and post-silicon performance bug triage.

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4/24 Hardware Validation Testing Engineer, Google Pixel

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Electrical Engineering, Computer Science, a related field, or equivalent practical experience. • 5 years of experience in hardware validation and testing of audio algorithms or related domains. • Experience In digital signal processing or practical application in audio systems. Preferred qualifications: • Experience with audio testing methodologies, tools, quality metrics, and lab equipment (e.g., oscilloscopes, logic analyzers, and audio analyzers). • Experience in C/C++ and scripting languages (e.g., Python). • Knowledge of embedded system development and debugging techniques. About the job Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users. The team elevates audio experiences by validating and optimizing the interplay between innovative algorithms and embedded hardware, ensuring performance across diverse devices. The team supports the development and implementation gap between audio algorithms and firmware to ensure integration and performance on goal hardware. The team leads hardware-aware validation and debugging of audio algorithms under various operating conditions, maximizing hardware/software synergy. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Responsibilities • Design and execute test plans for audio algorithms on hardware goals, including use cases and environmental conditions (e.g., noise, holding position, etc.) to identify potential issues.  • Collaborate with Algorithm and Firmware teams to pinpoint issues and isolate the root cause during integration. • Propose solutions considering algorithm and firmware impact, and suggest performance optimizations. • Identify integration challenges and potential compatibility issues early in the development cycle. • Debug tools and develop scripts or tools to automate testing and analysis tasks to the audio processing pipeline.

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4/24 Software Engineer, Engineering Productivity, Silicon

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Computer Science, Electrical Engineering, related technical field, or equivalent practical experience. • Experience in C/C++, Python, TypeScript, or Angular. Preferred qualifications: • Master's degree in Computer Science, Electrical Engineering, related technical field, or equivalent practical experience. • Experience working with a major cloud platform. • Interest in deeply learning customer workflows, identifying pain points, and designing/implementing creative solutions to them. About the job Google'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. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Communicate regularly with client teams to eliminate pain points, and improve quality and development velocity. • Develop high performance, scalable, highly available services. • Develop solutions including tool customization to simplify the setup and maintenance of CI, code coverage, and power and performance analysis. • Improve development efficiency across the silicon organization and possibly Google-wide through tooling improvements.

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4/24 Hardware Reliability Engineer, Devices and Services

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in mechanical engineering, electrical engineering, material engineering, a related field, or equivalent practical experience. • 8 years of experience in reliability engineering with consumer products. • Experience in hardware reliability. Preferred qualifications: • Experience developing and qualifying high complexity, high volume consumer hardware products with various modules. • Experience in hardware reliability and consumer electronics reliability disciplines (e.g., display, sealing, connector, plastic, PCBA, and materials). • Knowledge of accelerated life testing theory and methods (development, planning and execution). • Knowledge of Failure analysis and Data Analysis. • Excellent communication and problem solving skills. About the job As a Reliability Engineer, you will play a key role in creating new consumer electronic products that meet a high bar for reliability and performance. You will work closely with the product management and design engineering teams to define standards, specify tests, and then supervise test execution and failure analysis. A broad engineering background and command of statistical methods will help to inform design of new products. Your strong interpersonal and communication skills will be key to ensuring adoption of your technical recommendations. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities • Represent reliability engineering to cross-functional teams (e.g., engineering, operations, quality, etc.). • Act as tech lead for projects of moderate complexity and impact, manage project priorities and technical resources. • Lead hardware risks (DFMEA) analysis, and specify test qualification plans, and include these requirements in the early stages of product development. • Define product usage models, develop reliability test, enhance test coverage to detect potential risk at earlier phases, and estimate AFR (Annual Failure Rate). • Drive activity across different functions to provide faster time to effective corrective actions.

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4/24 Storage/Network Qualification Engineer, Google Cloud

  • 台北市信義區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience. • 5 years of experience in a hardware test or qualification role, and having experience with signal integrity, power, and timing Preferred qualifications: • Master's degree in Electrical Engineering, Computer Engineering. • Experience collecting and organizing details to reproduce and explain the root cause and solutions. • Experience with hardware and firmware evaluation methodologies for SSD/HDD and root cause failure analysis. • Knowledge of how to characterize CPU, memory, and peripheral devices quality using statistical analysis. • Knowledge of NIC, smart NIC, DPU, PCI-E protocol, and DDR 5, and experience running related tests with PCI-E compliance. • Excellent written and verbal communication. About the job Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities • Create test plans and coordinate resources across test environments. • Perform electrical, functional, reliability, and performance tests to ensure hardware solutions meet Google's requirements. • Report bugs and drive corrective action where needed with external suppliers or internal development teams. • Maintain and improve the qualification process. • Work with Original Design Manufacturers/Joint Design Manufacturers to ensure testing to meet Google standards.

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4/24 Power Management Silicon Validation Engineer

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in a technical field, or equivalent practical experience. • 3 years of experience developing random stress tests, silicon validation frameworks, or related infrastructure. • Experience programming in C/C++, and with ARM architecture. • Experience in IP level power management, DVFS, or SoC/CPU/memory power management. Preferred qualifications: • Experience executing tests on emulation platforms and/or FPGA, and with board level debug. • Experience with complex system debug, embedded operating systems, and bare metal programming. • Experience with JTAG debuggers (e.g. Lauterbach). • Knowledge of low power design and architecture techniques. • Knowledge of OS fundamentals. • Familiarity with PMIC and power modeling techniques. About the job Google engineers develop the next-generation technologies that change how users connect, explore, and interact with information and one another. As a member of an extraordinarily creative, motivated and talented team, you develop new products that are used by millions of people. We need our engineers to be versatile and passionate to take on new problems as we continue to push technology forward. If you get excited about building new things and working across discipline lines, then our team might be your next career step. In this role, you'll be a part of Google’s Silicon team, working to enable Google’s continuous innovations. You'll be responsible for bare-metal and OS-based validation, including both pre-silicon verification and post-silicon bring-up and validation, ensuring the delivery of high-quality silicon. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Plan, develop, and execute tests to validate IP, subsystem, and system level power management. • Manage power correlation and power management design validation on pre-silicon and post-silicon platforms. • Interface with Software, Architecture, Design, and DV teams to create and execute test plans. • Support silicon debug and field failures.

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4/24 Software Engineer, Embedded Systems, Silicon

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Master's degree in Electrical Engineering, Computer Science, relevant technical field or equivalent practical experience. • Experience coding in C or C++. • Experience with git, repo, and bug tracking tools. Preferred qualifications: • Experience in ARM architecture and standard interfaces, bare-metal programming, bootloader, and firmware. • Experience in Linux kernel, device drivers, and Android system programming. • Experience in software/hardware integration. • Experience in optimizing algorithms with OpenGL/OpenCL/NEON/LLVM on CPU/TPU/GPU/DSP. • Experience in verification using FPGAs and/or emulation platforms. • Familiarity with computer architecture, compilers, machine learning, or image processing. About the job Google'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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Design and implement Linux drivers and firmware for mobile systems. • Design and implement tools for system bring-up, debugging, and performance/power evaluation. • Design and implement functional tests to validate the correctness and performance of individual components and systems in pre-and post-silicon environments.

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4/24 Computer Aided Engineer, Pixel

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Mechanical Engineering or equivalent practical experience. • 5 years of experience in design, analysis, and structure analysis. • Experience with FEA (Finite Element Analysis) software. Preferred qualifications: • Experience with system design and shipping consumer electronic products (e.g., handheld, mobile consumer electronics devices). • Experience in failure modeling of different classes of materials, adhesive, rubber, and flat display material. • Experience in testing methods using Universal Testing Machines, and Dynamic Mechanical Analysis. • Experience using modeling practices including model validation techniques. • Knowledge of structural simulation tools. About the job As a member of a fast-paced multi-disciplinary team, you use your creativity and diverse range of engineering experience to explore solutions to a variety of engineering problems. As a mechanical engineer, you participate in the design, analysis, and prototyping of new concepts. You work in a manufacturing and product oriented development environment and collaborate with vendors and outside sources in order to see parts through to manufacture. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities • Generate Finite Element Analysis (FEA) models of mechanical parts, modules, and assemblies. • Perform static, dynamic, structural, and thermal-mechanical analysis. • Own and drive material characterization and testing plans to support modeling efforts. • Drive failure analysis, root cause efforts, and design of experiments to resolve problems. • Own, drive, and execute consistent methods of modeling and analysis of modules/system level across programs.

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4/24 CPU Power Engineer

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. • 3 years of experience with digital logic design principles, RTL design concepts, and languages such as Verilog or SystemVerilog. • Experience with low-power dynamic and leakage, power estimation, as well as data analytics, and profiling. • Experience in flow automation (e.g., Python, C, C++). Preferred qualifications: • 3 years of experience in RTL design and low-power design techniques. • Experience with the concept of power management, retention, or Dynamic Voltage and Frequency Scaling (DVFS). • Experience with vendor tools (e.g., PTPX, Ansys Power Artist, Synopses Prime Power RTL). • Experience with CPU bench-marking, performance analysis, and competitive study. • Knowledge of CPU micro-architecture. About the job Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users. With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors. Responsibilities • Own and drive several activities related to architecture energy modeling, competitive performance and power analysis, power optimization, simulation and rollups.  • Collaborate with the SoC Power Team in Taiwan on various power projections and requirements for our CPU, including silicon power capture of competitor CPUs for benchmarks and other daily workloads. • Perform data mining analysis at the RTL and gate-level to define relevant micro-architectural transactions for high-level power estimation.

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4/24 CPU CAD Methodology Engineer

  • 新北市板橋區
  • 經歷不拘
  • 學歷不拘

Minimum qualifications: • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience. • 1 year of experience developing high-performance, low-power design methodology or CAD flows in synthesis and implementation areas. • Experience in writing production scripts for implementation and sign-off tools. Preferred qualifications: • Experience in evaluating multiple vendor solutions and driving tool decisions. • Experience in advanced technology nodes. About the job Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users. With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors. In this role, you will be responsible for developing design methodology and CAD flows for the next generation CPU. You will contribute to the implementation flows leveraging industry tools. You will collaborate with infrastructure, Physical Design, Technology, and Electronic Design Automation (EDA) partners to implement the next generation processor flows to achieve Product Privacy Assessment (PPA) metrics. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Collaborate with the cross-functional teams to develop efficient flows, tools, and features. • Perform technical evaluations of vendors, process nodes and IP, and provide recommendations.

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