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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 1 year of experience working with and testing multiple L2 and L3 networking protocols as well as troubleshooting automation. Experience with test methodologies, writing test plans and creating test cases. Experience in Network Test Automation, Programming, Coding (Python or Go). Preferred qualifications: Master's or PhD in in Computer Science, Electrical Engineering, or a related field or equivalent practical experience. 1 year of Experience with object-oriented programming languages, such as C++ or Python. Experience with testing or releasing networking products. Experience working with and testing multiple L2 and L3 networking protocols as well as troubleshooting automation. About the jobOur computational challenges are so big and unique we can't just buy our hardware, we've got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Networking Test Engineer you make sure that our massive and growing network is operating at its peak potential. You have hands-on experience with complex networking equipment, a deep understanding of networking protocols, test design and implementation chops and a background in IP network design. It's your job to make sure Google's cutting-edge technology can perform at scale. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.Responsibilities Identify and report bugs, including escalating complex issues to senior engineers or managers. Develop and execute test plans, including contributing to the hardening of device hardware and software by developing automated scripts and running regression on existing Google platforms. Manage testing and releases of networking products, including managing timelines and project plans. Write and review test plans with teams, including identifying and gathering requirements to test networking features of a moderate to high-complexity project, participate in cross-functional reviews with related teams which cover test plans and test results. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software engineering, test automation, or network engineering. Experience managing and operating ethernet switches in an ISP environment. Experience developing software applications using C++ and Python. Experience leading and managing engineering teams. Experience with data center networking. Preferred qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field. 12 years of experience in software networking, specially data center networking domain. Understanding of networking concepts (e.g., TCP/IP, routing, switching). Excellent communication, collaboration, and leadership skills. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Switch Infrastructure team designs, develops, tests, and deploys the switch hardware and software for the networks inside Google's massive data centers and the private backbone connecting them worldwide. Our work enables and supports all major Google services, including Search, YouTube, Gmail, Google Cloud Platform (GCP), and the rapidly growing AI/ML infrastructure like Gemini.Our mission is to build exceptional, industry-aligned switch software that advances Google's network infrastructure for scalability, agility, reliability, and innovation, with a strong focus on supporting AI/ML demands.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 Lead, mentor, and grow a team of engineers responsible for the testing and validation of Google's network switch stack and infrastructure. Define and drive the strategy, roadmap, and execution for network test engineering, automation, and infrastructure. Collaborate with cross-functional teams (e.g., Development, SRE, Product Management) to ensure high-quality network deployments. Oversee the design, development, and maintenance of test frameworks, tools, and testbeds. Ensure comprehensive test coverage, including functional, performance, scale, and integration testing. Manage project priorities, resource allocation, and timelines. Drive best practices in software development and test engineering within the team. Foster a culture of innovation, collaboration, and engineering excellence. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++. 5 years of experience testing, and launching software products. 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 3 years of experience with software design and architecture. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Ability to learn and apply concepts in Large Language Model (LLM) training and serving, ML frameworks, and TPU/GPU architecture. Passion for building infrastructure to increase the velocity of ML development. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. AI Frontiers ML Infra Modeling team (go/aiflow) wants your help accelerating the development of GenAI applications.Our mission is to: Enable Googlers to enhance products and services with ML by providing a robust, innovative, and trustworthy AI/ML platform.We own and operate a multitentant ML-as-a-service platform used by Google product teams to build and launch GenAI-powered products (classical ML too!). We have thousands of users across Alphabet and collaborate deeply with teams from Shopping, Youtube, Ads, and more!This team provides the missing link between AI researchers and product teams to ensure that the latest-and-greatest in AI technology are effectively used in Google products to drive real-world impact.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 Provide technical leadership on high-impact projects. Develop an understanding of various parts of Google’s ML training and serving stack. Influence and coach a distributed team of engineers. Identify opportunities to improve the efficiency of the ML fleet and build solutions and capabilities to improve ML fleet efficiency. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Build/Expand ML infrastructure and platform to support future needs of internal and external Google Cloud Platform (GCP) customers. Drive collaboration with various teams (within CoreML organization, and across different product areas) as needed to build solutions with other components of ML infra, and accomplish the efficiency improvement goals. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in C++ and Python. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with responsible ML and ML explainability concepts and practices. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Ability to learn and apply concepts in Large Language Model (LLM) training and serving, ML frameworks, and TPU/GPU architecture, Tensorflow, JAX, Keras and Gemax. Passion for building infrastructure to increase the velocity of ML development. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. AI Frontiers ML Infra and Modeling team wants your help accelerating the development of GenAI applications.Our mission is to: Enable Googlers to enhance products and services with ML by providing innovative, and trustworthy AI/ML platforms.We own and operate a multitentant ML-as-a-service platform used by Google product teams to build and launch GenAI-powered products (classical ML too!). We have thousands of users across Alphabet and collaborate with teams from Shopping, Youtube, Ads, and more!This team provides the missing link between AI researchers and product teams to ensure that the latest-and-greatest in AI technology are effectively used in Google products to drive real-world impact.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 and maintain our production service, written in C++ and Python, and further the platform vision of incorporating prompt optimization, fine tuning, hyper parameter optimization, and ML best practices into Google product development. Develop an understanding of various parts of Google’s ML training and serving stack. Influence and coach a distributed team of engineers. Identify opportunities to improve the efficiency of the ML fleet and build solutions and capabilities to improve ML fleet efficiency. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Design and implement customer requested ML and AI features. From requirements-gathering and design-authoring, through implementation and landing impact in production. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

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 with testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Experience working with large datasets in SQL. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 2 years of experience with software development in the Java programming language. Experience in capacity planning and resource management. Experience in developing and working with large-scale distributed systems. Experience as a software engineer with knowledge of three or more of the following areas: Application Programming Interfaces (APIs) and services, distributed systems, tools, testing infrastructure, and monitoring infrastructure. About the jobGoogle 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 team's mission is to deliver efficient compute solutions across Google. We design and enhance resource products that optimize resource usage, ensuring compute products align with multiple business needs. The focus includes working in collaboration with the Operations and Infrastructure Data Science (ODS) team on statistical modeling to provide capacity, integrating compute resource management tools, and creating new cluster management products that maximize efficiency. We collaborate with teams throughout Google to drive efficiency and usability, covering Machine Learning (ML) and non-machine learning use cases in a variety of environments.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 Create system reliability and support for resource management with the Spatial Flexibility technical leadership team as part of the creation and execution of deliverables. Build technical solutions from the ground-up as part of the global Spatial Flexibility team. Develop, maintain, and simplify systems. Collaborate with team across the United States (e.g., West coast), India and Poland. Improve compute and ML resource efficiency to impact Google's bottom line and the net environmental impact. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development. Experience with object-oriented programming, templates, and Standard Template Library (STL). Preferred qualifications: Experience in working on Large Language Models (LLMs) or Artificial Intelligence/Machine Learning (AI/ML) quality problems. Experience in multiple programming languages (e.g., Java, C++, Python). Experience with performance testing tools and methodologies, and working with large-scale distributed systems. Experience with software engineering, C++, integration testing, tools development, performance tuning. Knowledge of system design, algorithms, and data structures. Ability to learn new AI frameworks, prototype and able to drive results. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. YouTube Developer Infrastructure team develops infrastructure and builds engineering products around Quality, Ease, velocity, and partner success. The ultimate goal of the team is to deliver tech infrastructure that impacts the lives of YouTube users. We develop, master and promote a purpose motivated adoption of Generative Artificial Intelligence (AI) development tools to achieve this.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Work with the site leadership and organization executives on site specific priorities for YouTube Bengaluru initiatives (e.g., applied AI, verticals, etc). Build applied AI products. Design, develop or adopt key developer Generative AI tools and vibe coding techniques to fixing developer infrastructure tests and achieving developer infrastructure team's Objectives and Key Results (OKRs). Ideate, design and develop applied AI products for YouTube developers, including quality multi-modal agents to make the development process efficient. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with full stack development, across the back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. 3 years of experience in testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. Ability to build 0-to-1 team, and take a project from idea to production. Passion for building infrastructure to increase the velocity of Machine Learning (ML) development. Excellent collaboration skills and the ability to work with UX, PM, and front-end/back-end engineers. About the jobGoogle 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 team provides the missing link between Artificial Intelligence (AI) researchers and product teams to ensure that the AI technology is used in Google products to drive real-world impact. The Generative AI (GenAI) feature suite includes specialized agents, advanced prompt optimization, generative evaluation, Generative Media (GenMedia), data synthesis, and fine-tuning and is evolving to keep pace with the changing ecosystem.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 Agentic User Interface (UI) flows with full-stack opportunities for Large Language Models (LLM) journeys traversed by Alphabet product teams. Work with User Experience (UX) partners to create journeys that take otherwise complicated and fragmented AI workflows to make them simple, ergonomic, and coherent. Work with researchers and modeling/infrastructure experts to democratize AI techniques and make them accessible to novice and advanced users. Collaborate cross-functionally with User Experience Researcher (UXR), User Experience Designer (UXD), Product Managers (PM) to build intuitive end-to-end experiences for user journeys. Drive improvements to the end-to-end UX and UI technical stack to ensure we can move quickly while also providing a polished and intuitive experience for domains. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience programming in C++, Java, Go or Python. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware 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 jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Write 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with testing, and launching software products. 5 years of experience with full stack development, across the back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. 3 years of experience with software design and architecture. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. Ability to build 0-to-1 team, and take a project from idea to production. Excellent collaboration skills, with the ability to work with User Experience (UX), PM, and front- end or back-end engineers. About the jobGoogle 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 team mission is to enable Google employees to enhance products and services with Machine Learning (ML) by providing Artificial Intelligence/Machine Learning (AI/ML) platform. We own and operate a multitentant ML-as-a-service platform used by Google product teams to build and launch Generative AI (GenAI)-powered products. This team provides the missing link between AI researchers and product teams to ensure that the AI technology are effectively used in Google products to drive real-world impact.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 Create journeys that take otherwise complicated and fragmented AI workflows to make them simple. Partner with the team containing front-end, infrastructure, and modeling expertise. Collaborate across the stack and deliver AI capabilities to the Google ecosystem. Influence and coach a distributed team of engineers.Work with researchers and modeling/infrastructure experts to democratize AI techniques and make them accessible to advanced users. Collaborate cross-functionally with User Experience Researcher (UXR), User Experience Designer (UXD), Product Managers (PM) to build end-to-end experiences for user journeys. 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience