5986 Artificial Intelligence Jobs - Page 24

Minimum qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. 1 year of experience with core GenAI concepts (e.g., Large Language Model (LLM), Multi-Modal, Large Vision Models) with text, image, video, or audio generation. 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Experience with Artificial Intelligence/Machine Learning (AI/ML) systems in a customer facing production environment. Experience with a multi-region cloud based storage system. Experience with developing data pipelines to compute metrics. Experience with distributed storage infrastructure systems. Experience of developing testing frameworks for storage infrastructure systems. Experience with Service Oriented Architecture (SOA) based or Microservices based 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. In this role, you will work with a team of engineers, and get to build and own components for Storage Management with Gemini. You will work with teams to identify accuracy, reliability and scalability issues with the current infrastructure, and will have the opportunity to lead the design and implementation of new components.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 Drive Generative AI (GenAI) Accuracy/Security improvement initiatives (e.g., Prompt Engineering, Intent Classification, Fine tuning, RAG, etc.). Participate in on-call responsibilities in the team to ensure that existing production systems meet Service Level Objective (SLOs). Ensure infrastructure is compliant with Google principles with security, performance, reliability, fault-tolerance, etc. Ensure the roll out process for new changes is compliant with the latest Google principles. Work cross-functionally and collaboratively with other service teams in Google Customer Solutions (GCS) to solve problems and drive cross-functional execution.

Minimum qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience building software for data privacy or security (e.g., identity and access management). 2 years of experience with data structures or algorithms. Experience developing accessible technologies. 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. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. 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 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.

Minimum qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms. Experience developing accessible technologies. 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 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 Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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. Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Minimum qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms. Experience developing accessible technologies. 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 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 Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 1 year of experience with GenAI concepts (Large Language Model, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. Experience in Machine Learning and in Generative AI. Experience in large scale data systems. Experience with Python, Notebooks, ML Frameworks (e.g. 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. 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 Explore and execute on GenAI technology. Take initiative, and be adept at navigating ambiguity. Facilitate alignment within the team. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance large scale software solutions.

Minimum qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), Machine Learning (ML) infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. 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. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model and data processing.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 5 years of experience in High Bandwidth Memory/Double Data Rate (HBM/DDR). Experience in silicon bringup, functional validation, characterizing, and qualification. Experience with board schematics, layout, and debug methodologies with using lab equipment. Preferred qualifications: Experience in hardware emulation with hardware/software integration. Experience in coding (e.g., Python) for automation development. Experience in Register-Transfer Level (RTL) design, verification or emulation. Knowledge of SoC architecture including boot flows. Knowledge of HBM/DDR standards. About the job In this role, you ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will be responsible for post-silicon validation of the Cloud Tensor Processing Unit (TPU) projects. You will create test plans and test content for exercising the various subsystems in the Artificial Intelligence/Machine Learning (AI/ML) System on a Chip (SoC), verify the content on pre-silicon platforms, execute the tests on post-silicon platforms, and triage and debug issues. You will work with engineers from architecture, design, design verification, and software/firmware teams. You will be validating the functional, power, performance, and electrical characteristics of the Cloud Tensor Processing Unit (TPU) silicon to help deliver high-quality designs for next generation data center accelerators.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 tests for memory controller High Bandwidth Memory (HBM) post-silicon validation and on hardware emulators and assist in bring-up processes from prototyping through post-silicon validation. Drive debugging and investigation efforts to root-cause, cross-functional issues. This includes pre-silicon prototyping platforms as well as post-silicon bringup and production. Ensure validation provides necessary functional coverage for skilled design. Help operate and maintain our hardware emulation platform for pre-silicon integration and validation.

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. 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies. 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 Cloud accelerates organizations ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Write and test 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.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with design and architecture; and testing/launching software products. Preferred qualifications: Master s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 5 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. 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 Cloud accelerates organizations ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance large scale software solutions.

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. 1 year of experience with software design and architecture. Experience in Web3.0 technologies and concepts such as blockchains, digital assets, dapps, cryptocurrency. Preferred qualifications: Experience with Google Cloud technologies (e.g., Kubernetes, BigQuery, Cloud SQL, Cloud ESF, etc). Experience with blockchain related technologies. Experience building highly available, real-time distributed systems. Experience with GenAI, AI Agents, or related technologies. 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 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 Build a novel Cloud Web3 assistant product powered by an AI thinking agent and a suite of tools. Design and implement core components of the Google Cloud Web3 portal, Blockchain RPC, faucets, validators, datasets, and more, ensuring availability and security. Write reliable, efficient and testable software, take ownership of projects, meet deadlines and deliver high-quality work, including documentation and design contributions. Collaborate effectively within a globally distributed team. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g. style guidelines, checking code in accuracy, testability, and efficiency).

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages. 7 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), or specialization in another ML field. 5 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging) or large-scale distributed systems. Preferred qualifications: 8 years of experience with data structures/algorithms. Knowledge of modern react-style web development. Familiarity with the whole web stack, including protocols and web server optimization techniques. Proven track record in large-scale system design, artificial intelligence, or machine learning. 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 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 Develop AI platforms and applications for Google Cloud's enterprise customers. Grow in a fluid environment solving critical issues and deliver innovative solutions at speed.

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. 1 year of experience with software design and architecture. Preferred qualifications: 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies. 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. 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 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). Build large-scale data processing pipelines with appropriate quality/reliability checks. Debug large-scale data pipelines. Build proper monitoring for both the health of data pipelines and quality of data. Treat access/privacy/compliance as first class operators for the data pipelines.

Minimum qualifications: Bachelor s degree, or equivalent practical experience. 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience in a technical leadership role; overseeing strategic projects, with 5 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience working in a complex, matrixed organization. About the job Like 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. 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 Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Develop the long-term technical vision and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

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 with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred qualifications: Experience with system design, artificial intelligence, or machine learning. Experience with the whole web stack, including protocols and web server techniques. Knowledge of modern react-style web 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. 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 Design, code, and deploy high-quality software at an accelerated pace, and create prototypes and iterate based on feedback. Explore and implement new AI/ML technologies. Engage in design and code reviews to ensure best practices and foster a culture of continuous improvement. Provide impact on Google's Cloud enterprise customers. Design and implement solutions in specialized ML areas, leveraging ML infrastructure.

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 building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies. 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 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 Write and test 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.

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 with Natural Language Processing (NLP) concepts, algorithms, and experience in designing NLP solutions. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies. 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 Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We re made up of multiple teams, building Google s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Responsibilities Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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. Design and implement NLP solutions, leverage ML infrastructure, and contribute to model optimization and data processing.

Minimum qualifications: Bachelor's degree in HR, Business, a related field, or equivalent practical experience. 7 years of experience in a customer or client-facing role supporting logistics operations. 7 years of experience working in domestic and international environments managing vendors (i.e., suppliers, manufacturers) or Third-Party Logistics. 5 years of experience managing operations. Preferred qualifications: MBA or Master's degree. CSCMP certification. Experience in managing customer support operations across all channels along with process and system improvement. Experience working with advertising products and Google Analytics along with knowledge of various online advertising models. Understanding of Machine Learning and Artificial Intelligence applications in support operations. Excellent problem-solving skills with the ability to provide solutions to challenges. About the job gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Drive operations with the staffing partners. Ensure the key metrics goals and business objectives are met. Draw insights and make recommendations to drive improvements to deliver operations. Track key metrics, deliver business reports, and ensure goals targets are met. Lead and inspire vendor teams to provide excellent customer service. Design and iterate on service workflows, ensuring global consistency. Maintain updated documentation and training materials, and identify areas for improvement. Drive impact for Google via reducing customer effort to create positive emotion in each interaction. Identify areas for Customer and Seller experience improvements, and cost and workflow process optimizations.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience in management consulting, sales operations, business strategy, investment banking, venture capital, private equity, or corporate advisory, or 4 years of experience with an advanced degree. Preferred qualifications: 8 years of Experience in product or program management, business insights, business analysis, or product ownership. Experience in programs that have incorporated AI, machine learning, or advanced analytics to enhance sales enablement or business intelligence solutions. Experience managing technology programs or projects involving full-stack application development with modern frameworks (e.g., Flutter, React, Angular, Node.js) delivered by technical teams. Experience managing programs using leading business intelligence and data visualization tools (e.g., Tableau, Power BI, Looker, Qlik). Track record of delivering technology-driven solutions for business teams. About the job The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Drive the strategic planning, development, and execution of programs aimed at delivering innovative business enablement solutions. Collaborate with regional and global sales, Connectivity Services Alliance (CSA) teams, Go-to-Market (GTM), and other cross-functional stakeholders to understand business needs, identify critical issues, and translate them into clear objectives and solution requirements. Define and manage the roadmap for business enablement solutions by prioritizing initiatives based on business impact and strategic alignment, ensuring platforms empower sellers to perform at their best. Oversee the entire lifecycle of enablement solution projects from initial concept and requirements definition through design oversight, development coordination with relevant teams/vendors, testing, and successful deployment. Drive the strategic integration of Artificial Intelligence (AI), automation, and the emerging technologies into enablement platforms to foster innovation and maximize sales productivity.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in product management. Preferred qualifications: Experience with AI/ML powered products or features. Experience working with technical teams (i.e., engineers, data scientists) along with understanding of software development methodologies, such as Agile/Scrum. Knowledge of concepts of Artificial Intelligence and Machine Learning (e.g., NLP, predictive modeling). Ability to work with data and analytics tools to inform product decisions. Ability to work independently and as part of a team and manage multiple tasks and prioritize in a fluid environment. About the job At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. Responsibilities Drive the entire product lifecycle, from ideation to launch and iteration. Conduct user and market research to define the AI product outlook and strategy, translating this into detailed requirements and user stories for our engineering team. Work with AI/ML engineers and data scientists, prioritizing features and guiding daily development within an agile framework. Foster collaboration between technical teams and HR stakeholders to ensure alignment and communication. Advocate a data-driven, user-centric approach, leveraging analytics and feedback to build AI solutions that address the needs of the HR professionals and employees.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud architecture working with a system integrator as architect or delivery providing solutions to end customers. Experience with data migration strategies and moving production systems in on-premise/data center environments or migration to cloud scenarios. Experience in designing and building architectures and with migration of workloads to cloud environments. Experience with database technologies (e.g., Oracle, SQL Server, PostgreSQL, MySQL, etc.). Preferred qualifications: Experience building business partnerships. Experience in cloud migrations and application modernization translating customer business needs into cloud-centric solutions. Experience with data and Artificial Intelligence/ Machine Learning (AI/ML) workloads. Knowledge of application data management architectures including storage subsystems, high availability, backup/recovery, disaster recovery, performance, scalability, security, monitoring and database management. Ability to conduct technical discussions and engagements. Excellent communication skills. About the job When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. In this role , you will work with partner development managers to grow and support the Google Cloud partner ecosystem. You will understand the technical capabilities of our partners and recommend the right partner and solutions to our customers. You will guide the effort to enable partners across technologies and solutions. You will contribute to customer adoption of Google Cloud by supporting partners as they illustrate how Google Cloud services can help customers bring their services to market faster, differentiate against the competition, and create new business growth streams. You will help partners succeed in the migration and deployment phase, ensuring they have full access to Google Cloud s artifacts, tools, templates, and best practices. You will help prospective partners understand Google Cloud features, help them build solutions and align with the product marketing and engineering teams to recommend improvements to Google Cloud products. 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 Enable System Integrator (SI) partners and Independent Software Vendors (ISV) technical teams skills, capabilities, and capacity through prototyping and demonstrating product integrations. Guide customers through assessments of their existing legacy application environment. Work with partner managers to identify and recruit partners in the market and monitor partner delivery capabilities. Onboard ISV partners to the Marketplace and empower SI partners to motivate a successful pilot, proof of concept or production workloads. Create partner technical development plans, aligned to annual planning and motivate technical wins of SI partners, alignment of SI partners to customer opportunities. Collaborate with ISV/SI partners to develop solution documentation, joint technical articles, webinars, etc. Build solution focused technical assets for internal/external partners. Recommend integration strategies, enterprise architectures, platforms, application infrastructure required to successfully implement a complete solution on Google Cloud.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in data analytics, Trust and Safety, policy, cyber-security, business strategy, or related fields. Preferred qualifications: 14 years of experience in operations, Trust and Safety. 10 years of experience in people management, supervision, or team leadership, leading large teams and 5 years of experience driving process improvement. Experience in Trust and Safety or developer relations with the ability to identify risks and develop compliance solutions. Knowledge of content moderation, policy enforcement, and customer support. Ability to drive operational improvements, including tool creation, process roadmaps, quantitative analysis, and efficiency identification. Excellent communication skills and ability to prepare and present goals to executives. About the job Trust and Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. Responsibilities Take responsibility for running the support operations and ensuring adherence to key metrics. Lead the formulation and execution of training and support for review teams, driving process improvements for operational scale and quality. Collaborate with Content and Artificial Intelligence (AI) Policy leads on program implementation, managing risks and developing roadmaps for adoption across teams. Work cross-functionally to improve developer experience by gathering insights, driving projects to enhance policy experiences and enable compliance. Lead analysis of support features, building tracking and reporting mechanisms to deliver data-driven insights and recommendations to stakeholders.

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, or a related field or equivalent practical experience. 8 years of experience in managing and leading software engineering teams with AI/ML. Preferred qualifications: 7 years of experience in software development with AI/ML applications. Experience in the development and deployment of AI/ML systems with HR data. About the job Like 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. The Human Resources Engineering (HRE) team at Google is dedicated to building technology solutions that empower Google's global workforce. We leverage the power of data and AI/ML to optimize Human Resources (HR) processes, enhance employee experiences, and drive organizational efficiency. In this role, you will be applying Artificial Intelligence (AI) to solve tests within a fluid domain. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Provide technical leadership and direction for a significant portion of the AI Software Engineering organization aligning with HRE and Artificial Intelligence/Machine Learning (AI/ML) strategies. Manage and mentor a team of Engineering Managers (EMs) or lead teams of AI Software Engineers, promoting a collaborative environment. Drive the technical strategy for major AI/ML initiatives within HRE, ensuring scalability, reliability, security, and maintainability of our systems. Collaborate with executive product leaders and HR stakeholders to define product roadmaps, influence direction, and translate business objectives into AI/ML solutions. Oversee the design, development, and deployment of AI/ML systems and infrastructure related to HR applications (e.g., talent acquisition, performance management, employee experience, workforce planning, compensation and benefits).

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Experience in system design, software development, and distributed systems. Preferred qualifications: Experience in large-scale distributed systems. Experience in networking and network architecture. Experience in network infrastructure and software-defined networking. About the job Like 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. 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 Identify direction and future road maps for the team. Work and collaborate with the other Technical Leads in United States. Execute and deliver the identified road map. Provide people development and career management for the team. Manage the growth of the team.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Experience in building and deploying Machine Learning (ML) models. Preferred qualifications: 9 years of experience in software engineering applied to ML. 2 years of experience managing and leading engineering teams. Ability to work in a collaborative and cross-functional environment. About the job Like 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. In this role, you will continuously train, evaluate and launch new translation models, to ensure that Google's offerings are of best quality and meet the needs of users and clients. You will collaborate with the Research team and other teams to bring innovation. 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 Create goals for the problem spaces, provide technical guidance, drive execution and advocate adoption of standard procedures. Build, mentor, and guide a team of engineers, fostering a collaborative and supportive environment where everyone can grow. Invest in their professional development through regular feedback, coaching and opportunities for growth. Collaborate across teams and partner with researchers, product managers, and geographically distributed engineering teams.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: 5 years of experience working in a changing organization. 3 years of experience with iOS application development. Experience with scalability, project execution, planning, people management, and mentoring. Experience with management, software development, driving technology, back-end, leadership, collaboration, partnerships, business acumen, and software architecture. About the job Like 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. In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Responsibilities Drive all aspects of engineering work including requirements definition, design, implementation, integration, test, release, monitoring, and sustaining. Develop the long-term technical goals and roadmap within, the scope of the teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Define a team structure, develop skills, offer mentorship, and recruit new members, to cultivate a growth mindset culture and grow the team.