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【職缺描述】 打造千萬用戶量級的掌上型體驗 TVBS 的行動應用程式 (App) 是我們觸及數百萬用戶、傳遞新聞資訊與影音內容的核心渠道。我們追求的不僅是功能的實現，更是流暢的互動體驗、毫秒必爭的效能，以及穩健的程式架構。 我們正在尋找經驗豐富的資深 app 開發工程師，您將是我們 app 產品的技術核心。您需要利用對 Swift 或 Kotlin 或 Flutter語言的深刻理解，主導 App 的架構演進，並解決複雜的效能挑戰。在這個角色中，您將有權力定義技術規範、引導團隊成員，並直接影響最終用戶的滿意度。如果您對打造頂級 App 充滿熱情，並樂於在快速變化的媒體環境中接受挑戰，誠摯邀請您加入。 【主要職責】 (Responsibilities) App 架構主導與演進： 負責 iOS 或 Android App 的架構設計、重構與優化。評估並導入新的技術和設計模式（如 MVVM, VIPER, Clean Architecture），確保架構的可維護性與擴展性。效能瓶頸突破： 深入分析並解決 App 效能問題，包括啟動速度優化、記憶體管理、UI 流暢度調校，以及網路請求效率提升。程式碼品質與團隊指導： 主導 Code Review，制定並推行開發規範 (Coding Standards)。提供技術指導 (Mentorship)，協助團隊成員共同成長。核心功能開發： 與產品經理、UI/UX 設計師及後端工程師緊密協作，交付高品質的核心功能，並確保最佳的使用者體驗。技術探索與創新： 持續研究 iOS 平台新技術（如 SwiftUI, Combine, Concurrency），評估其可行性並應用於實際產品中，推動團隊技術創新。 TVBS開發團隊對於軟體的品質有最高的要求。我們致力於以穩定的開發速率，持續地交付有價值的軟體來滿足客戶需求，並以全局為考量穩定改善團隊以及消除多餘的浪費。我們深信最佳的架構與設計皆來自於能自我組織的團隊，歡迎有相同信念的朋友一起加入！【職務內容】1. 設計並建置 iOS or Androi平台應用程式2. 與跨職能團隊共同合作開發3. 依需要撰寫良好自動化單元測試4. 修復應用程式bug，並持續改善效能5. 輔導跨職能Scrum團隊與Product Owner協同開發 Job Description Crafting Mobile Experiences for Millions of Users TVBS's mobile applications are central to how we reach millions of users, delivering news and video content daily. We pursue not only feature completion but also a seamless interactive experience, millisecond-level performance, and a robust application architecture. We are looking for an experienced Senior app Developer to be the technical cornerstone of our iOS or Androidproducts. You will leverage your deep understanding of Swift or Kotlin or Flutterto lead the evolution of our app architecture and solve complex performance challenges. In this role, you will have the authority to define technical standards, mentor team members, and directly influence end-user satisfaction. If you are passionate about building top-tier applications and thrive on challenges in a fast-paced media environment, we sincerely invite you to join us. Key Responsibilities Application Architecture Leadership: Lead the design, refactoring, and optimization of the mobile application architecture. Evaluate and implement new technologies and design patterns (e.g., MVVM, VIPER, Clean Architecture) to ensure maintainability and scalability.Performance Bottleneck Resolution: Conduct in-depth analysis and resolution of app performance issues, including startup time optimization, memory management, UI rendering smoothness, and network request efficiency.Code Quality and Mentorship: Lead code reviews and establish coding standards. Provide technical mentorship to help team members grow professionally.Core Feature Development: Collaborate closely with Product Managers, UI/UX Designers, and Backend Engineers to deliver high-quality core features and ensure optimal user experience.Technology Research and Innovation: Continuously research new iOS technologies (e.g., SwiftUI, Combine, Concurrency), evaluate their feasibility, and apply them to products to drive team innovation.

💼 公司介紹 這是一家源自矽谷、但長期深耕台灣的國際型產品科技公司，團隊成員來自世界各地，致力於打造能啟發創意、結合 AI 能力的全球級消費性應用服務。 公司以高敏捷的小組制運作，具備極高的產品自主權，尤其在 0→1 產品孵化、AI 應用實驗、跨平台開發等領域具有深厚經驗。 辦公環境採 Hybrid 彈性工作制度、國際化協作文化、提供優於市場水準的薪酬與員工體驗（如：彈性工時、跨國團隊合作、Maker Time 專注日等）——讓工程師能真正專注在技術與產品創造上。 （依據原 JD：具國際工作環境、彈性上下班、部分遠端、提供午餐晚餐、Maker Time 等福利） 如果你熱愛打造能讓全球用戶喜愛的產品、擁抱 AI 技術帶來的開發新可能，這會是一個能讓你技術成長與產品影響力同步放大的舞台。

【What You'll Do】 Designing and building new mobile apps from 0 to 1—turning bold ideas into polished, real-world products.Ability to leverage AI to efficiently build and manage end-to-end full-stack applications: you will need to write frontend/backend code yourself when needed.Collaborate closely with product managers, designers, and the MLAD (Machine Learning, Algorithms Data) team to build AI-powered experiences users love.Heavily explore and integrate AI tools into your workflow to streamline development.Contribute to technical strategy and share best practices across the iOS and broader engineering team.Contribute to a culture of continuous learning and knowledge sharing within the engineering team.Communicate your ideas and collaborate with your team clearly in English.

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; Taipei, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages (e.g., C or C++). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience developing Android in multimedia domains (e.g., display, graphics, video, camera, etc.). Experience in cross-functional feature development. Experience with embedded systems. 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. Pixel System software works closely with Android Platform, Pixel Hardware, gChips, and external partner teams to bring the best of Android to users, on Google’s Pixel phones and tablets.Within Pixel System software, our display team is responsible for all things display for Pixel devices, across Google Tensor (Google's in-house mobile System on Chip) and display panels, from innovative features, power, performance, to color management and image quality enhancement.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 Drive complete development cycles of new Pixel display projects, from requirements and design through implementation and establishing test plans. Own and develop modules in Pixel hardware abstraction layers (HALs), kernel drivers, and bootloader drivers. Design and implement features such as variable refresh rate, color management and calibration, HDR, image enhancement methods, etc. Collaborate closely with Android platform teams on enabling new Pixel devices, with SurfaceFlinger, Graphics, Video, Camera, Windows/Display Manager, etc. Elevate users’ experiences by developing the team’s infrastructure, keeping code quality high and implementing tools like telemetry to guide future software and hardware efforts, and persistently enhance the quality of our works, and the workflow. 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: PhD degree in Computer Science, a related field, or equivalent practical experience. Experience coding in one of the following programming languages: C, C++, Java or Python. Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization. Preferred qualifications: 1 year of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience in code and system health diagnosis and resolution, and software test engineering. Experience developing accessible technologies. Ability to start full-time role in 2026. 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. 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 Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 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 relevant technical field, or equivalent practical experience. 2 years of experience with software development in one or more programming languages (e.g., C++/C, Java, Python, JavaScript). 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, model serving, data processing, debugging, fine tuning) or agentic AI development. Preferred qualifications: Experience in building Android machine learning infrastructures and applications. Experience in Android development. Solid knowledge of advanced AI models (e.g., LLM) design/implementation and their application to real-world problems. Understanding of on-device ML technologies such as quantization and hardware acceleration. Familiarity with operating systems. 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 be able to get in touch with the latest models from DeepMind and CoreML, explore novel techniques for On-Device Machine Learning (ODML), work closely with various AI/ML teams and collaborate with a strong cross-functional group of Engineering/Product Management/UX across the platform and ecosystem product area.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 Adapt models (e.g., computational graph, quantization) for accurate and efficient execution on hardware accelerators (GPU/NPU). Create end-to-end model serving infrastructures for different applications needs and design AI-powered user-facing features and build app surfaces that deliver them. Orchestrate quality tests and benchmark performance across a wide variety of models including embedding, Large Language Model (LLM), image inference and image generation. Customize models for optimal performance in specific domains (e.g., LoRA training). Provide technical underpinning for production launches such as i18n, provenance and Trust and Safety. 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 or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Generative AI, Large Language Models (LLM), or Machine Learning infrastructure, including model deployment, performance optimization, profiling, and debugging. Experience with distributed computing leveraging GPUs or TPUs. Ability to scope and solve ambiguous problems, grow in a dynamic, fast-paced environment where AI technologies are continuously advancing. Ability to demonstrate proven technical leadership by aligning team objectives and timelines with those of multiple adjacent teams. Ability to collaborate effectively with cross-functional and cross-regional teams. 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. 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 behind Google's groundbreaking innovations, empowering the development of 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 Optimize performance across the AI infrastructure technical stack through in-depth performance profiling, debugging, and troubleshooting of AI/ML training and inference workloads. Develop tools and software for our AI/ML Infrastructure to deliver end-to-end developer experience. Collaborate with cross-functional, cross-regional teams to ensure AI/ML infrastructure delivers exceptional value and drives success for customers. Identify and resolve performance bottlenecks to maintain infrastructure that operates at peak capacity. Shape the future of AI/ML infrastructure by identifying gaps in the existing products and recommending enhancements. 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 Computer Science, or equivalent practical experience. 5 years of experience with software development in one or more programming languages. Experience in programming languages such as C and C++. Preferred qualifications: Experience with version control systems and code review tools like Gerrit. Knowledge of embedded development and Microcontroller (MCU) Real-Time Operating System (RTOS) systems. Knowledge of Linux device drivers and Android. Knowledge of bus protocols including I2C, SPI and USB. 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. The Google Augmented Reality team is a group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.Responsibilities Design and maintain software for embedded systems in multiple domains spanning bootloader to middleware. Develop hardware bring up and software test plans. Work on Linux device drivers and Android integration. Work on device drivers for microcontrollers in bare-metal and real-time operating system environments. Collaborate with cross-functional teams to design and implement solutions. 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 or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience in testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Experience with software development in C++ and cloud, or data center compute technologies. Experience with AI infrastructure software, reference OS, and storage systems. Experience in machine learning, and with hardware and software stacks. Experience in leading technical initiatives across cross-functional teams with excellent communication skills. Excellent problem-solving skills, with the ability to work in a changing collaborative environments. 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. 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 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 Design and implement software to bootstrap compute or storage components, including Operating System (OS) image deployment and node-specific configuration. Build and integrate cloud compute software to establish an Artificial Intelligence (AI) infrastructure connecting Tensor Processing Unit (TPU) clusters and cloud systems. Partner with TPU hardware and software teams to design, develop, and validate systems for standalone deployment. Collaborate with cross-functional leadership to drive quality project delivery and shape the future of Machine Learning (ML) infrastructure. Provide technical guidance and mentorship to engineers, promoting professional growth and team development. 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 or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience working with embedded operating systems. Preferred qualifications: Master's degree in Computer Science or a related technical field, or equivalent practical experience. Experience with Embedded software development in C/C++. Experience with machine learning (ML), security, and confidential computing, as well as high bandwidth memory (HBM), peripheral component interconnect express (PCIe), and advanced RISC machines (ARM). Experience with hardware/software co-design at the chip-level. Experience with architecting scalable software, multi-threaded designs, and implementation. 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 develop C++ code that controls and monitors Google’s custom accelerators (ASICs) - including TPUs for machine learning and video coding unit (VCUs) for video encode/decode. You define the API that the rest of the software stack uses to build deployments of the systems that use these ASICs. You will write code that directly manages interrupts, Direct Memory Access (DMAs), and many other hardware-centric features. You will debug and bring up new ASICs. Our team owns simulation models that allow for early software development pre-silicon. You will work closely with external vendors and many internal teams including chip design, system software, ML supercomputer, compiler, and system test.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 Design and build firmware running on embedded micro-controllers with limited memory footprints on the accelerator Application-Specific Integrated Circuits (ASIC). Co-design hardware/software interface, and work with the hardware design and development teams. Design and develop tools to update and debug ASIC firmware, and enable chip bring-up and hardware debugging. Build functional or cycle-level simulators that bit-accurately model the custom accelerator ASICs, build tools and infrastructure to help ASIC design verification, tapeout, and bring-up, and develop embedded CPU simulators as part of the full system simulator. Architect and design debuggability mechanisms and telemetry collection systems to monitor Tensor Processing Units (TPUs), enhancing customer satisfaction and enabling rapid response, diagnosis, and mitigation of production 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.