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Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science, Communications, Electrical Engineering, a related technical field, or equivalent practical experience. 8 years of experience in embedded system development with technical leadership or project leading experience. 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Experience in Andorid/Linux Board Support Package (BSP), camera, networking or video streaming development. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a matrixed organization. Experience in one or more of the following areas: networking, embedded Linux, network video streaming and camera application. Experience in Linux camera software stack development such as camera driver, hal, framework and application. Experience in network video streaming, WebRTC development and optimization, and experience in Internet of Things (IoT) camera and smart home technologies development. About the jobLike Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. The Google Home Camera Software team builds smart home cameras that leverage intelligent AI to ensure home security and safety. We combine the best of Google AI, software, and hardware to create helpful experiences for our users. Our team researches, designs, and develops new technologies to make user interactions with computing more seamless.The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.Responsibilities Grow and lead a team of Engineers contributing and leading camera software stack and platform development in camera products. Track and communicate progress and risks, maintaining alignment with product roadmap to various stakeholders while owning development and shipment responsibilities. Lead projects, oversee architecture and critical implementations, product and code quality, and use of best practices focused on developing scalable camera software stack solutions. Coach and develop leadership skills of direct reports. Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and selection-making across teams. 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. 8 years of experience in software development, including 5 years working with on-chip debugging, tracing, and profiling solutions, or developing firmware and embedded operating systems. 2 years of experience in a people management or team leadership role. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 3 years of experience working in a complex organization. Experience developing tools on ARM CoreSight architecture, commercial JTAG debug solutions, and gdb protocols. Ability to apply genAI to daily development follow and tools. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. This role requires a blend of deep technical expertise in embedded systems and the leadership skills to manage complex Hardware/Software (HW/SW) co-design projects in a fast-paced environment. As an Engineering Manager, you will lead the Debug/Trace/Analytics (DTA) Tools team in Taipei. You will manage a talented group of engineers dedicated to building the next generation of debug and analytics tools for Google's custom silicon (e.g., tensor) providing a comprehensive suite of host-side profiling tools that utilize the latest hardware and software capabilities to enhance internal team productivity. 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 Manage a team around engineers in the development of software tools and scripts to diagnose, profile, and analyze system issues of Google custom silicon. Guide the team in presenting complex analytics through both Command-line Interface (CLI) and Graphical User Interface (GUI) interfaces, while correlating data from microcontrollers and power/performance measurements. And direct the application of GenAI to pinpoint root causes of silicon issues and boot team productivity. Lead design reviews with stakeholders and peers to decide on core technologies including software and hardware for DTA related areas. Collaborate cross-functionally with Google teams to build exceptional APIs, tools, and user interfaces. Oversee work with early hardware prototypes, FPGAs, and SW-simulations of SoC designs to verify and enable critical functionality. 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, Communications, Electrical Engineering, a related technical field, or equivalent practical experience. 8 years of experience designing and deploying ML models. 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Experience in shipping ML solutions on resource-constrained hardware (Embedded, Mobile, or IoT), with a focus on optimizing for latency, power consumption, and memory footprint. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a matrixed organization. Experienced in Linux camera software stack development such as camera driver, hal, framework and application. Experience implementing CV algorithms and building automated evaluation pipelines and metrics to ensure model accuracy and reliability in real-world environments. Experience in IoT camera and smart home technologies development. Proven ability to lead complex ML projects from conceptual design to successful production, providing technical direction for on-device products or solutions. About the jobLike Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. The Google Home Camera Software team builds smart home cameras that leverage intelligent AI to ensure home security and safety. We combine the best of Google AI, software, and hardware to create helpful experiences for our users. Our team researches, designs, and develops new technologies to make user interactions with computing more seamless.In this role, you will lead an engineering team responsible for developing the camera on-device machine learning models, framework, ML pipeline for next generation AI cameras. You will manage the full lifecycle of AI-powered features, ensuring that models not only perform at high accuracy but also meet stringent power, latency, and thermal requirements. You will act as the primary technical bridge between software, hardware, and product teams to deliver seamless AI experiences to global users.The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.Responsibilities Drive the design and maintenance of end-to-end ML deployment pipelines. Lead the team through model evaluation, fine-tuning, data processing, and debugging. Manage the critical trade-offs between model performance and hardware constraints (ARM SoCs, DSPs, NPUs). Be responsible for ensuring that ML-powered features respect device power consumption and latency budgets. Maintain high engineering standards for C++ development in an embedded context, ensuring scalable, and maintainable firmware and software architectures. 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.