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Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages (e.g., Python, C++, Rust, Go). Preferred qualifications: Experience with automated testing frameworks. Experience with operating systems, distributed systems, compilers, Low Level Virtual Machines (LLVM). 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. In this role, you will design, develop, and maintain software testing frameworks and integrations, involving coding in Rust, Python, C++, and Go. You will work in greenfield projects as well as new features in existing systems. You will work across the entire stack, from the kernel to userspace to beyond the device, to develop testing features. You will propose and implement kernel-level features as needed, You will implement data processing pipelines to analyze test results at scale. You will develop and improve tools for test execution, output processing, and result collection. You will investigate and implement AI/ML models to assist with test generation, optimization, and automated bug triaging. You will contribute to shared team responsibilities such as roller/build rotation, debug and triage customer issues.Fuchsia is a modern, open source operating system that is simple, secure, updatable, and performant. It’s a general purpose OS, designed to power an ecosystem of hardware and software, and provides core operating system functions like system resource management, a driver framework, and software abstractions.Responsibilities Design and implement new testing features in C++ and Rust. Implement new end-to-end testing harnesses in Python for device testing. Collaborate across the organization to gather feedback and identify gaps in our testing frameworks. 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: New Taipei, Banqiao District, New Taipei City, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience with computer architecture concepts, including micro architecture, cache hierarchy, pipelining, and memory subsystems. 3 years of experience working with mobile or embedded SoCs architecture or use case system design. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science. 5 years of experience working with mobile or embedded SoCs related to system design to improve use case level power and performance. Experience driving system architecture decisions across SW/HW teams within an organization to build up the consensus and translate ideas into architecture specifications. Experience with android architecture, mobile SoC architecture, ML architecture, computer architecture, PPA trade-offs. Knowledge of interactions between software and HW IP blocks, general and special purpose compute units. 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. As part of the Platform System Architecture team, you will leverage the expertise in computer and AI/ML architecture, Power, Performance, and Area (PPA) trade-offs, mobile SoC AI/ML workloads analysis, ability to traverse across the Software (SW)/Hardware (HW) stack to influence IP and SoC architecture for the Tensor SoC to bring in the latest AI/ML user experience on Pixel devices.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 Influence Tensor SoC architecture decisions for PPA working cross-functionally with SW/HW architects, design teams, and research teams to enable the industrial best user experience on Pixel phone devices empowered by the latest and the most advanced Generative AI technologies provided by Google research. Leverage a data driven approach through profiling, simulation and modeling, drive consensus around architectural decisions across the entire silicon organization to solve system design problems. Be the primary owner of the architecture specifications, system design documentation, workload analysis, modeling and projection to influence and define future SoC architecture. 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: New Taipei, Banqiao District, New Taipei City, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience. 8 years of experience in microprocessor architecture, micro-architecture, performance, or advanced CPU design. Experience in CPU architecture, performance modeling, analysis, correlation, and workload characterization. Experience with C/C++ and scripting languages (e.g., Python). Preferred qualifications: PhD in Electrical Engineering, Computer Engineering, or Computer Science. Experience in leading CPU/ML micro-architecture exploration, performance model development, performance analysis, performance correlation, and workload characterization. Knowledge of processor instruction set architecture (e.g., ARM, RISC-V, x86). Knowledge of system software components (e.g., Linux, drivers, and runtime). Excellent communication skills. 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. In this role, you will be the key contributor to improve processor instruction set architecture, develop micro-architecture features, and to deliver Google’s SoC products. You will have the opportunity to collaborate with Google’s Android applications and AI teams to plan and conduct application and benchmark performance analysis.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 and evaluate ARM’s architecture features from both architecture and performance aspects. Develop a performance model for performance analysis and micro-architecture study. Define and write CPU subsystem architecture specifications. Lead collaborate with RTL, design verification, and physical design teams to develop CPU implementation. Drive performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon and post-silicon performance bug triage. 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.

維宜科技股份有限公司成立於2021年，專注於提供高效的網路架構、資訊安全及系統整合服務。我們擁有一支具備15年以上系統開發與軟體技術服務經驗的團隊，秉持著積極和負責的理念，致力於為客戶提供最安全、高效率的資訊技術服務。若您是一位熱衷於技術創新及挑戰的資深軟體工程師，我們誠摯邀請您加入我們的行列，共創美好未來！

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Electrical or Electronics Engineering, or equivalent practical experience. 2 years of experience in SoC Software, Architecture, or hardware validation, with mobile, Internet of Things (IoT), or consumer electronics. Experience with coding languages such as Python, Bash, or Perl for automating data collection, analysis, and report generation. Preferred qualifications: 4 years of experience in SoC Software, Architecture, or hardware validation, with mobile, Internet of Things (IoT), or consumer electronics. Experience in using lab test equipment like oscilloscopes, electronic loads, and network analyzers for mixed-signal validation. Experience with hardware, including working with pre-production silicon and evaluation platforms in a lab setting. Knowledge in working of operating systems (e.g., Android/IoS/Linux), including how OS interacts with the SoC's hardware for memory management, power management, and scheduling. 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. 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 Conduct technical and market-based analysis of System on a Chip (SoCs), covering areas such as architecture, performance, features, and cost. Lead technical tear-downs and benchmark activities to gather detailed intelligence on participants products. Develop and maintain engaging intelligence reports, including market landscapes, product road maps, and feature comparisons. Collaborate with cross-functional teams, including engineering, marketing, and business to support product planning and Go-to-Market (GTM) strategies. Monitor industry trends, emerging technologies, and participants moves to provide analysis. Use data analysis tools and techniques to reconcile datasets and deliver insights. Maintain and update internal engaging databases and repositories of technical information. 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.

Role and ResponsibilitiesAs a Software Design Engineer, your responsibility includes: • Working in a team of highly skilled software engineers responsible for developing software that enables the ever-increasing miniaturization of semiconductor technology.• Using Agile methodology to develop the software using C and/or C++ and Python.• Creating architecture and designs that are modular, scalable, robust and meet customer requirements.• Perform unit testing and on target testing to ensure the software meets the high-quality standards our customers expect.• Evaluation of technical issues, risks, and dependencies for projects.• Interfacing with customers and other stakeholders to gather a complete understanding of their requirements.• Verify stability, interoperability, portability, security, or scalability of system architecture.You will also participate in continuous process improvement activities aimed at ensuring the processes and tools used throughout software development lifecycle are increasing the team’s ability to develop high quality software in the most efficient manner.Educational Experience Master degree in Computer or Electrical Engineering or Computer Science, or equivalent experience.3-5 years of experience in software designExtensive experience in automatic equipment software development.Ability to decompose functional requirements into software architecture and design.Strong software development skills, ability to debug complex issues and find root cause on your own.Required technical skills: proficiency in the C or C++ or Python languageKnowledge/hands-on experience with software/technical tools: such as Git, ClearCase, Jira, Bash.Preferred experience writing unit test or auto tests using Python or google test.Skills Can observe and respond to people and situations and interact with others encountered in the course of work.Must be able to read and interpret data, information, and documents.Strong customer focus and commitment to customer satisfaction through prioritization, quality, efficiency and professionalism.Ability to complete assignments with attention to detail and high degree of accuracy.Proven ability to perform effectively in a demanding environment with changing workloads and deadlines.Result driven-demonstrate ownership and accountability.Work independently or as part of a team and follow through on assignments with minimal supervision.Demonstrate open, clear, concise and professional communication.Ability to establish and maintain cooperative working relationships with manager, co-workers and customerThis position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

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: New Taipei, Banqiao District, New Taipei City, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, a related field, or equivalent practical experience. 3 years of experience developing random stress tests, silicon validation frameworks, or related infrastructure. Experience programming in C/C++. Experience in Advanced RISC Machines (ARM) architecture and in IP level power management, Dynamic Voltage and Frequency Scaling (DVFS), or SoC/CPU/memory power management. Preferred qualifications: Experience executing tests on emulation platforms or Field Programmable Gate Array (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 operating system fundamentals. Familiarity with Power Management Integrated Circuit (PMIC) and power modeling techniques. About the jobGoogle 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 will be a part of Google’s Silicon team, working to enable Google’s continuous innovations. You'll be responsible for bare-metal and operating system 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 Design Verification teams to create and execute test plans Support silicon debug and field failures. 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, Physics, Materials Science, or a related field or equivalent practical experience. 2 years of experience in touch sensor module development, including on-cell or in-cell integrated display technologies. Experience with Touch Integrated Circuit architecture (Analog Front End, Microcontroller Unit), firmware processing, and algorithms for noise filtering, and touch sensor stack-ups, manufacturing, and electrical interaction between Organic Light Emitting Diode (OLED) pixels and sensing electrodes. Experience developing consumer electronics products featuring display stack-ups. Preferred qualifications: Master’s degree in Electrical Engineering, Physics, or Materials Science. Experience leading technical teams through hardware integration and system-level troubleshooting. Experience with mixed-signal expertise and knowledge in analog/mixed-signal systems, with an emphasis on noise mitigation for high-sensitivity sensors. Experience in statistical analysis for yield improvement and ability to draw schematics, simulate sensors, and lead PCB/FPC design processes (DFM/Gerber sign-off) for prototyping and high-volume manufacturing. Ability to travel up to 10% for vendor audits and factory ramps. About the jobGoogles mission is to organize the worlds 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 users 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 peoples lives better through technology.Responsibilities Lead the development and integration of on-cell touch solutions, focusing on the interaction between touch sensors and Thin Film Encapsulation (TFE) for plastic Organic Light Emitting Diode (OLED). Partner with vendors to optimize Touch IC architecture (Analog Front End (AFE)/Microcontroller Unit (MCU)) and firmware algorithms to ensure high-levels of noise immunity and system performance. Define Engineering Requirements Specifications (ERS) and execute validation plans, including testing during early-stage development (Proto/EVT) and deep-dive failure analysis on complex modes. Manage technical dependencies between display driving and touch sensing to mitigate noise interference and ensure signal integrity in high-proximity architectures. Oversee physical engineering design layouts and manage display/touch vendors to ensure quality and perform root cause diagnosis for system-level issues during high-volume production ramps. 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.

Senior Data Scientist / Machine Learning Engineer Price Intelligence Demand Optimization 我們正在尋找一位兼具 數學能力、程式能力與商業思維 的 Senior Data Scientist / Machine Learning Engineer，負責打造一套從 0 到 1 的 Price Intelligence System。 這不是一個只停留在研究階段的模型開發職位。我們希望你能打造真正落地、可規模化、能驅動商業決策的演算法系統，協助企業在超過 50,000+ SKU 的商品組合中，進行大規模、自動化、即時化的價格決策。 你將參與一套由 15+ 個互相串接的模型 組成的 Price Intelligence Ensemble System，涵蓋需求預測、價格彈性、促銷成效、庫存優化、異常偵測與多目標最佳化等核心模組。 工作內容 1. 建立 Price Intelligence Ensemble System 你將參與設計並開發一套由多個模型組成的價格智慧系統，包括： Demand Forecasting 需求預測 Price Elasticity Modeling 價格彈性模型 Promotion Impact Modeling 促銷成效模型 Inventory Optimization 庫存最佳化 Meta-Learning / Ensemble Decision Engine Real-Time Anomaly Detection 即時異常偵測 你需要能夠理解模型之間的依賴關係、資料流、特徵工程、模型選擇、訓練流程與執行順序。 2. 開發 SKU-Level Demand / Pricing Models 你將建立能夠在 SKU 層級預測需求、庫存與價格反應的模型，並納入以下因素： Seasonality 季節性 Promotion Lift 促銷拉動效果 Macroeconomic Factors 總體經濟因素 Weather Patterns 天氣影響 Product Lifecycle 商品生命週期 Competitive Pricing 競爭價格 Inventory Velocity 庫存流速 相關模型可能包括： ARIMA / Prophet LightGBM / XGBoost Bayesian Models Hierarchical Models Causal Inference Models PyTorch-based models 3. 解決多目標最佳化問題 你將開發能夠平衡多個商業目標的最佳化模型，例如： Maximizing Revenue 提高營收 Maintaining Gross Margin 維持毛利 Clearing Seasonal Inventory 清理季節性庫存 Competitive Positioning 維持市場競爭力 Promotion Efficiency 提升促銷效率 你需要能夠將商業限制、價格防護條件、庫存壓力與營運規則整合進模型，形成可落地的價格決策引擎。 4. 建立即時異常偵測與促銷監控系統 你將開發 streaming / real-time models，監控促銷活動期間的實際銷售表現，並在銷售結果與預測落差過大時，提供即時決策訊號，例如： Deepen Promotion：加深折扣或擴大促銷 Throttle Promotion：降低促銷力度或停止活動 Inventory Risk Alert：庫存風險提醒 Margin Risk Alert：毛利風險提醒 5. 將模型部署到 Production Environment 你需要撰寫乾淨、可維護、可擴展的 Python 程式碼，並與工程團隊合作，將模型部署到 production pipeline。 技術環境包含： Python pandas / NumPy / scikit-learn PyTorch BigQuery Vertex AI Cloud Run AlloyDB Pub/Sub / Dataflow / Kafka SQL / PySpark Poetry 系統需要滿足即時或近即時的 latency 要求，例如 100ms 到 500ms。 必備條件 7 年以上 Data Scientist / Machine Learning Engineer 經驗 具備統計、數學、經濟、物理、運籌、工程或相關量化領域背景 熟悉 price elasticity estimation、demand curve modeling 或 demand forecasting 熟悉 time-series forecasting 方法，例如 ARIMA、Prophet、LightGBM、XGBoost 熟悉 Python 生態系，包括 pandas、NumPy、scikit-learn、PyTorch 具備進階 SQL 能力，能處理大型資料集與複雜分析查詢 理解 Bayesian methods、hierarchical models、causal inference 或 uncertainty quantification 有能力將模型從 research prototype 推進到 production pipeline 能與工程、產品、商業團隊溝通模型邏輯與商業影響 加分條件 有 e-commerce、retail、fashion retail、pricing 或 revenue management 經驗 有 price optimization、demand elasticity、markdown optimization 經驗 曾開發 multi-model ensemble system 或複雜 ML 系統 熟悉 GCP：BigQuery、Vertex AI、Cloud Run、Pub/Sub、Dataflow 熟悉 real-time ML / streaming architecture 有 apparel / fashion retail 商品生命週期、季節性促銷、庫存管理經驗 熟悉 competitive pricing intelligence、web scraping、price index monitoring、KVI strategy 有 SaaS product 或 internal pricing tool 開發經驗 具備 computer vision / apparel feature extraction 經驗 熟悉 PyTorch CNN architecture，能夠修改或訓練 vision models 我們希望你是這樣的人 你不只是會訓練模型，而是能夠理解模型如何真正影響商業結果。 你能夠在以下目標之間做出平衡： 營收 vs. 毛利 折扣深度 vs. 庫存去化 預測準確度 vs. 系統延遲 模型複雜度 vs. 可維護性 商業彈性 vs. 統計嚴謹性 你需要能夠向非技術主管清楚解釋，例如： 「為什麼這個 markdown depth 雖然折扣較深，但能在指定期間內最大化總毛利回收？」 適合你的原因 這個職位適合想要挑戰以下任務的人： 從 0 到 1 建立 Price Intelligence System 參與大規模 SKU pricing decision engine 的設計 將 machine learning、statistics、optimization 與真實商業場景結合 建立能實際影響營收、毛利與庫存決策的 production-grade ML system 與產品、工程、商業團隊共同打造可規模化的 AI pricing platform 技能關鍵字 Python、Machine Learning、Data Science、Price Optimization、Demand Forecasting、Price Elasticity、Time Series Forecasting、Bayesian Modeling、Causal Inference、PyTorch、LightGBM、XGBoost、BigQuery、Vertex AI、GCP、SQL、PySpark、Optimization、Retail Analytics、E-commerce、Inventory Optimization、Anomaly Detection、Computer Vision

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, Physics, Music technology, Acoustics, a similar field, or equivalent practical experience. 4 years of experience working in a audio/speaker field. Experience with standard audio measurement tools (e.g., sound check, audio precision, and audition). Experience with consumer hardware and loudspeakers and with music and media tuning, digital filter design, bass enhancement algorithms, spatial sound, and speaker arrays. Preferred qualifications: Master’s degree or PhD in Electrical Engineering, Computer Science, Acoustics, or related disciplines. 9 years of experience with consumer hardware. Experience with acoustics and audio electrical engineering architecture. Experience with subjective and objective audio quality assessment. Experience with audio simulation and signal analysis tools (e.g., MATLAB, Klippel Sim). Passion for audio playback applications while managing conflicting system requirements. 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. Googles mission is to organize the worlds 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 users 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 peoples lives better through technology.Responsibilities Own the end-to-end outcome for the complete audio playback system solution on home devices (e.g., smart speaker, smart display, doorbell, camera), including defining, tuning, validation, and debugging. Lead the analysis, evaluation, and benchmarking of audio enhancement algorithms using objective and subjective methods. Drive alignment and technical coordination with acoustic engineers on loudspeaker architecture and placement on devices. Collaborate with internal developers, Joint Development Manufacturer (JDM) partners, external vendors to integrate and refine systems to meet next-generation product requirements. Partner with cross-functional teams to resolve complex system challenges and deliver audio playback performance. Contribute strategically to the product roadmap by investigating new technologies and delivering innovative features. 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.