Google_美商科高國際有限公司

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 verification methodologies and languages such as UVM and SystemVerilog. • Experience developing and maintaining verification testbenches, test cases, and test environments. Preferred qualifications: • Master’s degree in Electrical Engineering, Computer Science, or related field. • Experience with UVM, SystemVerilog, or other scripting languages such as Python, Perl, Shell, Bash, etc. • Knowledge of general purpose operating systems such as Linux and Android. • Familiarity with ARM Instruction Set Architecture. About the job Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's 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 verification for future CPU developments. • Build functional verification infrastructure, the infrastructure will include unit, multi-unit, core, and subsystem level verification environments. • Produce diagnostic code repositories that sufficiently enable production of quality CPU’s. • Verify and validate performance for both pre-silicon and post-silicon.

Minimum qualifications: • Bachelor's degree in Computer Science, Electrical Engineering, related technical field, or equivalent practical experience. • 5 years of experience with software development in C/C++ and data structures/algorithms. • Experience with on-device machine learning. Preferred qualifications: • Experience of power and performance measurement and optimization. • Experience with android software and hardware architectures. • Experience with SoC architecture. • Experience building embedded system software stack. 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. The Silicon team develops custom silicon solutions that provide differentiated user experiences in Google Hardware products and optimize performance and power for specific use cases. This includes SoCs (systems on a chip) and other mixed signal, logic, and sensor ICs (integrated circuits) for the product portfolio. You will partner with cross-functional teams to deliver software to enable a positive user experience on Pixel and other hardware products. 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 • Optimize ML model inference for Pixel devices to deliver a positive user experience. • Measure power and performance of Pixel software and analyze issues. • Contribute to the software and hardware architecture designs for Google’s future SoCs and software features.

Minimum qualifications: • Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. • 7 years of experience working as a technical sales engineer or in software engineering. • Experience delivering technical presentations and leading business value sessions. Preferred qualifications: • Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion. • Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. • Experience in systems design, with the ability to architect and explain data pipelines. • Understanding of nearest neighbor search concepts. About the job As a Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud’s technology with customers, large enterprises, and early-stage startups. You will help customers innovate faster with solutions using Google Cloud’s flexible and open infrastructure. In this role, you will identify, assess, and develop applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and help to analyze cost to performance. You will work with internal Cloud teams to remove roadblocks and shape the future of offerings.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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 • Advise Google customers by understanding their business process and objectives. Architect spanning Data and Infrastructure, and work with peers to include the full cloud stack into overall architecture. • Build repeatable technical assets such as scripts, templates, reference architectures to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure by advocating for enterprise customer requirements. • Coordinate regional field enablement with leadership and work with product and partner organizations on external enablement activities.

Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 2 years of experience with software development in Python, or 1 year of experience with an advanced degree in an industry setting. • Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks. • Experience with AI products, technologies, and infrastructure. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical field. • Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.). • Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies. • Understanding of AI Models, Large Language Models, and AI specialized infrastructure as it relates to AI trends and issues within businesses. • Understanding of responsible AI practice. • Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space. 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. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities • Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. • Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud. • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud. • Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future. • Travel to customer sites, conferences, and other related events as needed.

Minimum qualifications: • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, a related technical field, or equivalent practical experience. • 5 years of experience in software development with C/C++. • 3 years of experience with embedded systems design, development, and debugging. Preferred qualifications: • 1 year of experience in a technical leadership role. • Experience with firmware, realtime operating system, or Android platform development. • Experience with emulation platforms, FPGAs or silicon bring up. • Experience with Linux and Android device driver development. • Experience with display technologies, such as DPU, DSI, and Displayport. 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 the validation software for Google Tensor. • Create and integrate software on emulation, FPGA, and silicon environments. • Develop, maintain, and integrate software test infrastructure, unit tests, and integration tests. • Collaborate with internal and external partners to support the development and execution of the validation plans. • Support users in development of production device drivers and debugging failures.

Minimum qualifications: • Bachelor's degree In Computer Science or equivalent practical experience. • 2 years of experience in development on Linux. • 2 years of experience with software development in one or more programming languages (e.g., Python, C++, C). • Experience with Continuous Integration/Continuous Deployment (CI/CD) and automation testing. Preferred qualifications: • Experience in System Software Testing or System integration testing. • Experience in automation testing development. • Experience in testing engineering. • Knowledge of software release process. • Knowledge of hardware components and new product process in the server product. 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. In this role, you will be conducting system testing and software development equally.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities • Report the testing status, highlight the blocking and urgent issues during the testing. • Triage the issue and create bugs during the testing. • Innovate the new service or feature to improve the experience of engineers in the team. • Plan, Execute and monitor the Tsukuba New Product Introduction (NPI) process, system testing and Automation release process.

Minimum qualifications: • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. • 2 years of experience in system software development (e.g., firmware, BIOS, BSP, Linux kernel, BMC, device drivers, and system libraries). • 2 years of experience coding in C/C++. Preferred qualifications: • Master's degree or PhD in Computer Science, or a related technical field. • Experience in Solid-State Drive (SSD)/NAND or Hard Disk Drive (HDD) based storage technologies, interfaces (e.g., NVMe, SATA/SAS), and security standards (TCG). • Experience in developer operations, release management, integration testing, and open source development. • Experience in storage software stack with Linux or firmware in storage controllers (e.g., RAID/AFA/NAS). • Experience in large-scale and secure fleet management of servers and components. • Experience in Python and scripting languages (e.g., shell). 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. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities • Design and implement the system software for storage systems to maximize the performance, reliability, security, and capacity. • Create and implement tools for automating diagnostics, performance evaluation, and reliability assurance for storage components and systems. • Develop and implement solutions for collecting and analyzing metrics for storage products in the cloud infrastructure to deliver insights. • 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.

Minimum qualifications: • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience. • 5 years of experience with software development, including data structures/algorithms. • 1 year of experience in technical leadership, people management, supervision, or team leadership. Preferred qualifications: • Experience building camera stack on Operating System (OS) or framework level. • Experience in development of Android OS. • Experience in Android app development. • Knowledge of camera technologies (e.g., 3A). About the job Like Google's own ambitions, the work of a Software Engineer goes way 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. Chrome OS delivers quality computing at scale to provide universal and unfettered access to information, entertainment, and tools. Our mission is to empower anyone to create and access information freely through fast, secure, simple, and intelligent computing. Responsibilities • Optimize the built-in camera app to provide a smooth user experience on Android Desktop. • Collaborate with cross-functional partners (e.g., Product Manager, User Experience (UX) Designer, Technical Program Manager, etc.) to do team planning and decision making. • Drive the feature scoping and design for better camera applications experience. • Grow and guide the team to deliver best camera applications on ChromeOS/Android Desktop.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. • Experience in Unix/Linux environments. • Experience in C or C++ programming. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical field. • 1 year of experience in a technical leadership role. • Experience with developer operations, release management, integration testing, and open source community collaborations. • Experience in large-scale and secure fleet management of servers and components. • Experience in Python/Go and scripting languages (e.g. shell). • Experience in enterprise server or storage systems. 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. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities • Develop and execute on technical charters for owned areas. Influence roadmap decisions, and define and implement the known practices across teams. • Lead the programs of system software development for next-generation storage devices and systems to introduce the latest technologies of performance, reliability, security, and cost-effectiveness to the infrastructures. • Lead the programs of system software development for large-scale system verification, automating diagnostics, system configuration management, and operation metrics collection. • Mentor the team by modeling standards, providing guiding feedback, and implementing new practices to improve productivity. • Contribute innovative ideas and skills to the team.

Minimum qualifications: • Bachelor’s degree in Computer Science, Electrical Engineering, related technical field, or equivalent practical experience. • 2 years of experience with software development in C or C++. • 2 years of experience in system software development (e.g., BIOS, BMC, Linux kernels, system libraries). • 2 years of experience with data structures or algorithms. Preferred qualifications: • Experience in software/hardware integration, system bring-up, and diagnostics. • Experience with open source development or Open Compute Projects (OCP). • Experience in the BMC (e.g., AMI BMC or OpenBMC) development, machine management software development, or Linux kernel development. • Experience in Python and scripting languages (e.g., Shell). • Experience with Redfish and OpenBMC. • Experience with the server x86 computer architecture. 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. As a key member of the Google System team, you'll maintain and enhance the core software that runs on every server in Google's production fleet. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities • Lead, design, implement, and measure next generation distributed machine monitoring, modeling, and management software, and design messaging layers, implement C/C++ libraries, and participate in system design, analysis, and measurement. • Collaborate with internal and external partners to plan and execute the engineering programs, including product development, and productivity improvement. • Mentor the team by modeling high standards, providing feedback, and implementing practices to improve productivity. • Contribute innovative ideas to the team. • Develop technical and product roadmaps and influence executive decisions, define and implement best practices for multiple teams.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. • 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 or PhD in Computer Science or a related technical field. • 1 year of experience in a technical leadership role. • Experience with Android Open Source Project (AOSP) development. • Experience with architecture, design, development, testing and deployment for Android BSP, Linux device drivers, Linux kernel modules. 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 • Integrate drivers and firmware during bring-up. • Debug software and hardware problems and submit patches for bug fixing or feature improvement. • Develop and execute comprehensive test plans to ensure software stability and reliability. • Drive continuous improvement of Integration flow, debug tools, and processes. • Plan enablement approach and Report feature development progress at various program milestone.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. • 5 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. • Experience with compilers (e.g., parallelization, etc.) or ML model development. • Experience with C++. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical field. • Experience in Multi-Level Intermediate Representation (MLIR) or Low Level Virtual Machines (LLVM). • Experience in optimizing ML models for inference. • Experience with hardware-software codesigns. • Experience with compiler development in the context of accelerator-based architectures. 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. In this role, 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 • 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 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. • Work with product managers, researchers in identifying key ML trends, future use cases, and collaborate with ML model developers, researchers, and EdgeTPU hardware/software teams to accelerate the transition from research ideas to user experiences running on the EdgeTPU.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. • 3 years of experience in developing software products, and 1 year of experience with software design and architecture. Preferred qualifications: • Master's degree or PhD in Computer Science or a related technical field. • Experience with Machine Learning models (e.g., DNN, LLM, etc.) training, data processing, and evaluation. • 1 year of experience in a technical leadership role. • Experience with Machine Learning framework (e.g., PyTorch, Jax, TensorFlow). 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. In this role, 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 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 • Partner with DeepMind and CoreML AI experts to launch Gemini on Android. Your work will directly shape how billions experience AI on their devices. • Design revolutionary generative features that redefine mobile interaction. Create intuitive, engaging experiences that set new industry standards. • Create intelligent solutions for billions of Android users. Your expertise will empower global users with accessible technology. • Deploy generative models powering the core of Android. Drive adoption of AI features that enhance essential mobile functions at scale. • Guarantee peak performance and user delight through model optimization. Ensure seamless, reliable AI experiences that exceed user expectations.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. • 3 years of experience in developing 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 mobile development or embedded system. • Experience with Machine Learning powered feature development and productization. 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 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 • Collaborate directly with AI experts from Google DeepMind and CoreML to adapt and deploy the Gemini model for seamless integration into mobile user applications. • Optimize the AICore runtime, with a focus on Gemini Nano, to ensure optimal performance and efficiency within the diverse Android environment. • Design and build robust, user-friendly developer-facing APIs, empowering the Android developer community to create innovative and engaging AI-powered user experiences. • Work closely with product teams to innovate and implement novel user experiences, leveraging techniques like Retrieval-Augmented Generation (RAG), traditional machine learning models, LoRAs, and targeted LLM fine-tuning.

Minimum qualifications: • Bachelor’s degree in Electrical Engineering, Computer Science, relevant technical field or equivalent practical experience. • 2 years of experience with software development in C language. • Experience with Git, Repository (Repo), and bug tracking tools. Preferred qualifications: • Experience in ARM architecture, 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 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. 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 core 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.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in C++ or Python with data structures or algorithms. • 3 years of industry experience in developing software products, with 1 year in leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). • 3 years of experience in Machine Learning (ML) fields including but not limited to speech/audio, reinforcement learning, and ML infrastructure. Preferred qualifications: • Master Degree or PhD in Machine Learning, or in a related technical field. • Experience with Natural Language Processing (NLP), Large Language Model (LLM), and Computer Vision (CV). • Experience of applied machine learning / machine learning research. • Experience in Android or mobile development. About the job The team is building an AI Agent on Pixel that is personal, private and on device. We believe technology has emerged (LLMs) to enable such an agent and create a differentiating and transformative experience, especially with Pixel's unique take on hardware (e.g. Tensor chip), Software, AI. This project will be responsible for problems, such as Large-Language Modelling (LLM), AI agent interaction with tools / APIs, or private and personalized AI, etc. In this role, you will help develop the machine learning system and models that power the Pixel personal agent. This includes tasks such as data collection design, data engineering, feature engineering, model training, and model evaluation. 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 • Develop applications specifically for the Android and Pixel platforms. • Decompose use cases into manageable technical problems, and propose, design, and implement data collection solutions. • Collect and clean data to prepare it for tuning and evaluating machine learning models. • Develop, maintain, and tune machine learning models. • Design evaluation framework and carry out evaluations of the machine learning models.

Minimum qualifications: • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. • 2 years of experience in embedded system software development. • 2 years of experience coding in C or C++. • Experience with Linux/Unix development environments. Preferred qualifications: • Experience with developer operations, release management, and integration testing. • Experience with designing and developing device drivers for peripherals (e.g., GPUs, PCIe Switches, and connectivity buses like I2C, USB, PCIe). • Experience coding in Python or with scripting languages (e.g., shell). • Experience with open source development. 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. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities • Develop, integrate, debug and validate Data Center Graphics Processing Units (GPUs) system software, resolve Data Center GPU machines issues. • Integrate and validate GPU kernel drivers and firmware, enabling GPU Software bundle on the Data Center machines. • Collaborate with Google Cloud cross-teams to enable software and solve the issues, improve Data Center GPU machines reliability, stability and repairability. • Write detailed specifications for software architecture and GPU systems we build. • Develop comprehensive test suites that enable unit, integration, and system level testing of our system software.

Minimum qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. • 5 years of experience working with TPU or parallel processor architecture (such as VPU/DSP) and silicon design. Preferred qualifications: • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, or a related field. • Experience with architecting and designing TPU hardware IP (or machine learning accelerator) for complex SoCs. • Experience in micro-architecture, power and performance optimization. • Experience collaborating cross-functionally with SoC architecture, IP design and verification, algorithm and software development teams. • Experience in machine learning algorithm, workloads analysis, performance/power evaluation, and architecture optimizations. About the job Be part of a diverse 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 a member of the CoreIP Hardware Architecture team, you will contribute your architecture expertise in providing hardware solutions for TPU architecture. You will collaborate with algorithm, power and performance teams in Performance, Power, Area (PPA) optimizations and develop the architecture specifications used by the hardware IP design teams to implement the solutions within the SoC. In this role, you will work cross-functionally with many teams across Google to define key differentiating user experiences on Google hardware devices and drive these user experiences into Google 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 • Work on TPU (Tensor Processing Unit) architecture for the next-generation Tensor SOC to boost Performance, Power and Area based on machine learning workload analysis. • Define and deliver the TPU hardware IP architecture specifications that meet power, performance, area goals, owning the goals through to tape-out and product launch. • Perform detailed data analysis and tradeoff evaluations to improve our TPU architecture solutions. • Propose architectural features/requirements for TPU to integrate TPU with Tensor SOC to improve overall performance. • Collaborate with implementation teams to drive the TPU hardware IP architecture specifications into design implementation for complex SoCs.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages (e.g., Java or Python, and with data structures/algorithms). • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: • Experience with backend services, integration and hermetic testing. • Experience in tools and infrastructure. • Ability to define software architecture, components, modules, interfaces, and data for a system to satisfy specified requirements. This includes validating for correctness, functionality, reliability, and other characteristics. • Ability to debug, triage, and fix program code or system issues (e.g., firmware, software, application, operational, process). • Knowledge of the major phases and activities of a software test cycle. 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. 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 • Work with multiple teams across organizations to solve technical problems that enable feature teams to ship quality code at high velocity. • Lead on scalable infrastructure that spans across device software, services, and apps. • Deliver infrastructure to testing components and products based on knowledge of differences and considerations for each test phase (e.g., validity, verification, performance, reliability, usability, stress testing) and develop tests to verify infrastructure for each of the major phases of software development. • Set technical direction and priorities for a small number of adjacent engineers within and across teams. • Generate the ideas required to solve technical problems and take full ownership of the solution.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. • 3 years of experience in testing, maintaining, or launching software products. • 3 years of experience with performance, systems data analysis, visualization tools, or debugging. • 1 year of experience with software design and architecture. Preferred qualifications: • Master's degree or PhD in Computer Science or a related technical field. • 2 years of experience in a technical leadership role. • Experience in developing hyperscale, server platform design, firmware development or system architecture. • Experience with Basic Input/Output System (BIOS), Kernel, Firmware quality test. • Excellent problem solving and communication skills. About the job In this role, you will work on a project critical to Google Cloud's needs with opportunities to switch teams and projects as you and the business grow and evolve. You will anticipate our customer needs and be empowered to take action and innovate. You will be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack to push technology forward.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities • Guide the design, development, and implementation of Cloud Server Program, overseeing the project from conception to launch. • Be knowledgeable about firmware design, kernel development, and server system integration, with the ability to influence the ecosystem. • 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. • Guide design reviews with peers and stakeholders to select among available technologies.