Google Inc.

Software Engineer III, Embedded Performance, System Tracing, Profiling Google London, UK Apply 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 working with embedded operating systems. Experience with software development in C++. Experience with Linux Internals and Performance Optimization. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms. Experience with Android Internals. Experience in build systems, performance, systems internals and software optimization. About the job Google's software engineers develop the next generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full stack as we continue to push technology forward. The 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 users' interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

A leading technology company is seeking an experienced AI Solutions Deployment Lead to oversee AI solutions deployment across EMEA and APAC. This strategic role involves managing deployment specialists, designing evaluation pipelines for Large Language Models, and ensuring standardized delivery across industry verticals. Candidates should have a Bachelor's degree and extensive experience in customer-facing technical roles, including knowledge of machine learning and conversational AI frameworks. Proficiency in programming languages like Python or R is preferred. This role provides an opportunity to drive innovative AI solutions for key global customers.

Software Engineer II, Google Arts and Culture Location: London, UK Apply Education Bachelor's degree or equivalent practical experience. Preferred qualifications Master's degree in Computer Science or a related technical field. 1 year of experience with data structures and algorithms. Ability to collaborate effectively and deliver high-quality work. Ability to self direct individual contributions. Ability to scope problems and implement solutions. 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 Arts and Culture was launched in 2011 to support digital innovation in cultural access and preservation around the world. The team's key effort is to build a platform for institutions to bring their content online in a way that is easily accessible to broad audiences. We combine tools and services designed to help institutions digitize existing materials in physical collections then store and share them online, creating new user experiences and bringing our expertise in new technologies and storytelling. This role supports creative coders and artists in residence, ensuring the stability, security, and launch readiness of public facing experiments utilizing external models like Gemini and internal models. This is a changing role with a varied set of demands, connecting the external world and the internal process. 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. Prepare experiments for launch via configuration management. Implement and maintain endpoints to proxy internal GenAI services. Help prevent and address security vulnerabilities, assist in implementing mitigation measures. Rebuild and redeploy existing experiments, update them to new runtimes, APIs, ML models etc. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

A global technology company is seeking a Technical Program Manager for colocation infrastructure in London. In this role, you will manage complex projects, ensuring reliability and efficiency in data center environments. Required qualifications include a Bachelor's degree and 2 years of experience in colocation infrastructure management. You will collaborate with stakeholders, draft engineering designs, and analyze requirements, contributing to innovative solutions and project success. Join a team dedicated to building opportunities for everyone.

Technical Program Manager, Data Center Capacity Planning corporate_fare Google place London, UK Bachelor's degree in a technical field, or equivalent practical experience. 2 years of experience in program management. Experience in Capacity Planning. Experience in mechanical and electrical engineering. Preferred qualifications: Experience working on evaluating and designing data center infrastructure. Experience in AutoCAD Drafting. Ability to have a data-driven investigative approach to solve complex challenges. Excellent organizational, multitasking and prioritization skills. Excellent written and verbal communication skills. About the job A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. Responsibilities Understand space and power management for data center environments. Review and thoroughly understand Google's Network Architecture Standards. Develop reporting and metrics related to data center infrastructure capacity planning. Work closely with Google operations and engineering teams. Create high-level project plans that identify resource needs and critical path. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

A global technology company is seeking a Network Implementation Engineer to design and oversee the deployment of data networks. The ideal candidate will have experience with networking protocols and be proficient in AutoCAD. Responsibilities include designing flexible spaces, automating drafting processes, and managing construction projects. Candidates should possess relevant degrees and a strong understanding of electrical engineering concepts. This role offers a dynamic and collaborative work environment.

A leading tech company is seeking a Strategic Negotiator for Data Centre Site Acquisition and Development in London. This role involves negotiating real estate agreements, managing vendor relationships, and leading infrastructure development projects. The ideal candidate possesses strong negotiation skills, a relevant degree, and 4 years of project management experience. You'll work closely with various stakeholders to ensure compliance and identify cost-effective solutions while supporting the company's growth. Proficiency in English is essential.

A global technology company in London seeks a Software Engineer for its TPU Compiler team. The ideal candidate will be involved in writing C++ code, optimizing algorithms, and applying AI to compiler development. A PhD in a related field is required along with experience in parallel computing and software design. Join us to work on cutting-edge technologies that will shape the future of computing and AI.

A leading tech company is seeking a Software Engineer II to develop innovative technologies in their Arts and Culture team. The ideal candidate will have a Bachelor's degree and experience with data structures, along with strong coding and collaboration skills. Responsibilities include writing development code, reviewing peer contributions, and ensuring the security of public-facing experiments. This role offers an exciting opportunity to connect creative coding with cultural institutions.

A leading technology company in London is seeking a Staff Software Engineer for their Personal Health Agent project. The role involves developing and implementing the technical roadmap for fitness and sleep coaching solutions, collaborating across engineering teams, and guiding the delivery of innovative AI-driven features. Candidates should have extensive experience in software development and technical leadership, with a strong background in AI/ML systems. This position offers competitive compensation and opportunities for career growth.

A leading technology company in London is seeking a Customer Engineer specializing in startups and scaleups. In this role, you will leverage your extensive customer engineering experience to support and develop cloud solutions for various businesses. You will work directly with startups to architect solutions and resolve technical challenges, ultimately enhancing their productivity and collaboration using Google Cloud products. The ideal candidate will have a strong background in customer relationships and cloud products, with a passion for enabling digital transformation.

A leading tech company is seeking a Customer Engineering Manager to lead a team of engineers in driving cloud transformation for customers. You will be responsible for talent strategy, customer partnerships, and collaboration with sales leadership to define technical strategies. The ideal candidate has a Bachelor's degree, extensive experience in cloud solutions, and strong leadership skills. This role involves fostering partnerships and providing technical solutions to accelerate business goals across various industries.

Strategic Negotiator, Data Centre Site Acquisition and Development Google Amsterdam, Netherlands ; London, UK Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Amsterdam, Netherlands; London, UK. Bachelor's degree or equivalent practical experience in Engineering, Infrastructure, Real Estate or related fields. 4 years of experience managing projects or supporting the planning and development of agreements. Preferred qualifications: Experience negotiating or supporting the negotiation of bilateral real estate agreements of varying sizes, timelines. Experience in real estate development, evaluation, acquisition, and site selection for industrial projects. Experience in indirect taxes, economic development policy, financial modeling, infrastructure development, agreement drafting and redlining, and exposición development. Knowledge of power transmission and distribution, telecommunications infrastructure, data centre technology, industrial electrical and cooling technology, and other related areas. Ability to travel up to 50% of the time as needed. About the job As Google's products and services grow to serve our billions of users, the Strategic Negotiation team works behind the scenes to secure infrastructure for Google's future. It's a big job that involves everything from operating underwater cables to finding data center space. In this role you combine your deep market knowledge with tech industry savvy to find solutions that support Google's growth. You'll work with specific teams to oversee vendor and partner relationships. Your successful management skills have the potential to impact every part of the business and save Google millions of dollars in operating costs. You'll ensure that we receive contract compliance on our third-party agreements, while identifying the most cost-effective solutions for our needs. You'll take lead on special projects, manage vendors and present your recommendations to Google leadership. As a Data Center Strategic Negotiator, you will work with the team to manage the development of offsite infrastructure, identify locations and sites of interest for self-developed data centers, establish agreements and build relationships with landowners, power grid and energy companies, telecommunications companies and government officials, data center developers, as well as data center providers. You will lead discussions for purchase and service agreements with these key stakeholders such as managing a broad range of compliance issues, site/infrastructure development strategy and milestone tracking. 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 Work with internal and external technical teams to identify, define, and pursue initiatives necessary to meet Google's ongoing data center needs, including agreement of necessary utility connections (e.g., power, water, etc.) at existing and new green or brown field sites. Manage the למשל strategy for ongoing growthBLL at existing sites. Develop metrics for mapping, tracking, and advocating of a broad range of portfolio management issues regarding site/infrastructure development. Monitor progress against objectives, providing regular status reports and advocating financial metrics to support both site and infrastructure related portfolio decisions. Foster an open workplace for colleagues in day-to-day interactions and conversations. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin verläng, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, aniversario histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

corporate_fare Google place London, UK Required Qualifications Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience with leadership such as people management, team lead, mentorship, or coaching. Experience with big data and machine learning frameworks with AI/ML, Large Language Models (LLMs), and Generative AI. Experience with machine learning solutions such as TensorFlow, Theano or Caffe, leveraging machine learning architectures and their application. Ability to travel up to 25% of the time. Preferred qualifications Experience with software lifecycles, building tools, architecting and developing software for scalable, distributed systems, including data platform, AI/ML and infrastructure. Experience as a pre-sales manager or a people manager in a technical customer-facing role within a professional services or Sales Engineering team. Experience managing a team through sales processes, operations and career development, including account mapping, quota setting, quarterly/annual performance management, and managing sensitive information. Experience engaging with, and presenting to, technical stakeholders and executive leaders, including tailoring and delivering compelling messages by audience, asking strategic questions, and leading conversations that drive business opportunity. About the job The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Customer Engineering (CE) Manager, you lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate empenal migration and remove technical impediments. 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 Lead a team of Customer Engineers and build growth culture. Focus on talent strategy and skills development to deliver on successful cloud transformation outcomes for our customers and accelerate business goals for your territory. Foster partnerships with key customers across the book of business. Provide leadership related to cloud, transformation and relevant industry trends. Partner with Google Cloud Sales leadership to define technical go-to-market strategies and execution plan for the team's book of business. Balance technical leadership with operational excellence, lead workload and opportunity review meetings and provide insight into how to achieve a technical agreement and migration strategy, working directly with our customers, partners, and prospects. Work cross-functionally across Google, our partners, and team to resolve technical roadblocks including capacity蒙 needed, constraints and product challenges affecting customer satisfaction. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages. 2 years of experience with computer architecture, performance analysis, and performance modeling. 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures and algorithms. Experience in compilers, parallel algorithms, parallel computing. Experience with formal methods, performance analysis, advanced algorithms. 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 manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full stack as we continue to push technology forward. In this role, you will work with Accelerated Linear Algebra (XLA) TPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU accelerators for internal (e.g., Google DeepMind) and external customers. You will contribute to be a vital part of the Google Gemini software infrastructure. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise grade solutions that leverage Google's 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 for the Tensor Processing Unit (TPU) compiler (in C++). Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Contribute to a compiler which scales out machine learning models across accelerators like TPU/Graphics Processing Unit (GPU) at Google and Cloud. Conduct static and runtime performance analysis of important large scale production models. Design and implement performance optimizations and critical features, which increase the velocity of important production teams. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity irrespective of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Overview AI Solutions Deployment Lead, Applied AI, Google Cloud - London, UK Qualifications Bachelor's degree or equivalent practical experience. 10 years of experience in customer-facing technical roles (e.g., solutions architect, forward deployed engineer, or principal consultant). Experience in one or more discipline areas such as machine learning, recommendation systems, natural language processing, pattern recognition, or artificial intelligence. Experience in Large Language Models (LLMs), prompt engineering, and conversational AI frameworks. Preferred qualifications Experience in a statistical programming language like R or Python and applied machine learning techniques. Experience with conversational AI frameworks (e.g., langchain, agent development kit) and enterprise contact center technologies (e.g., genesys, twilio). Experience with multi-agent architectures and the nuances of cyclic reasoning loops. Proficiency in a major programming language (e.g., Python, Java, or Go). Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e.g., Salesforce, SAP). Ability to lead cross-functional teams and influence executive stakeholders in organizations. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a AI Solutions Deployment Lead for all EMEA and APAC deployments, you are a high-visibility team multiplier responsible for turning the promise of agentic AI into production reality for Google's most strategic global customers. You sit at the nexus of product, engineering, and the customer, translating complex business friction into elegant, reasoning-based AI solutions. In this leadership role, you will serve as the primary Directly Responsible Individual (DRI) for delivery of agentic solutions, leading a group of deployment specialists to implement best practices for delivering at scale and velocity. You will maintain a pulse on the entire portfolio, ensuring you know exactly where the team stands regarding every deployment at any given point. You are a builder, a strategic systems thinker, and a master of navigating complex technical and business challenges. You will be leading a group of deployment specialists while simultaneously incubating new products and defining the best practices that will enable the entire Google Cloud 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 Serve as the primary DRI and central authority for the deployment portfolio across EMEA and APAC, maintaining a real-time pulse on project health for executive leadership. Manage and mentor a group of deployment specialists, implementing standardized delivery frameworks to ensure high-fidelity, production-grade leadership across industry verticals. Advocate foundational architectural frameworks such as agent and pioneer advanced techniques like prompting and cyclic reasoning loops to accelerate time-to-value. Design and implement evaluation pipelines, utilizing gold datasets and automated judge Large Language Model (LLM) frameworks to benchmark latency, accuracy, and brand fidelity. Author and scale technical assets, including architectural patterns, prompt engineering guides, and reusable internal tools to transform bespoke solutions into repeatable global motions. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Technical Program Manager, Colocation Infrastructure Google London, UK Responsibilities Be a Subject Matter Expert (SME) of space and power management for colocation environments. Evaluate colocation facilities to ensure they meet internal reliability requirements. Review and understand Google's Network Architecture Standards. Communicate with partners along with internal business owners to collect drivers and deadlines for delivering colocation space and associated infrastructure. Draft Statement Of Work (SOW) design/Engineering Drawing Sets. Design spaces that meet current needs while maintaining flexibility for the future. Required qualifications Bachelor's degree in Science, Engineering, or Mathematics, or equivalent practical experience. 2 years of experience in data center colocation infrastructure management/planning. Experience with AutoCAD drafting. Experience with electrical or mechanical engineering in a data center environment. Experience with construction project management. Preferred qualifications 5 years of experience in an industry setting. Experience evaluating data center infrastructure and designing cages and associated infrastructure. Excellent organizational, multitasking and prioritization skills with attention to detail. Excellent financial and communication skills with data-motivated investigative approach to solve tests. About the job A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. Equal opportunity Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Software Engineer, TPU Compiler, PhD, Early Careers London, UK Experience level Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Responsibilities Write product or system development code for the TPU compiler (in C++). Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Contribute to a compiler which scales-out machine learning models across accelerators like TPU/GPUs at Google and Cloud. Design and implement performance optimizations and critical features, which increase the velocity of important production teams. Apply AI to the development of the Compiler and to the Compiler itself. Qualifications Experience with coding in data structures, algorithms and software design. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Work or educational experience in Machine Learning or Artificial Intelligence. Currently enrolled in or graduated from a PhD program. Experience working with parallel computing. Experience with compilers and compiler construction. Excellent debugging and programming concurrent/parallel computations, and working on accelerators such as VLIW, Vector machines, GPUs, or DSPs. 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. TPU team develops the Accelerated Linear Algebra (XLA) TPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU accelerators for internal (e.g. Google DeepMind) and external customers. It is a vital part of the Google Gemini software infrastructure. 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 for the TPU compiler (in C++). Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Contribute to a compiler which scales-out machine learning models across accelerators like TPU/Graphics Processing Unit (GPU) at Google and Cloud. Design and implement performance optimizations and critical features, which increase the velocity of important production teams. Apply AI to the development of the Compiler and to the Compiler itself. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

A leading technology company in Greater London is seeking a Software Engineer to develop advanced technologies with a focus on machine learning. The ideal candidate has a Bachelor's degree and experience in software development, data analysis, and performance modeling. Key responsibilities include writing code for the TPU compiler and conducting performance analysis. This role offers opportunities to work on critical projects and contribute to innovative solutions that impact millions of users.

Network Implementation Engineer, AutoCAD Google London, UK Bachelor's degree in Network Engineering or Telecom Engineering, a related technical field, or equivalent practical experience. 2 years of experience with networking protocols and troubleshooting. Experience with two or more of the following: server hardware and software, network hardware and software, data center infrastructure and operations, or mechanical and electrical systems. Experience with AutoCAD. Preferred qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, a related field or equivalent practical experience. 4 years of experience with AutoCAD, managing projects in data center construction or commercial construction. Experience in the following: construction project management, electrical engineering, fiber OSP/ISP engineering and large scale project management. Experience with LISP and scripting. About the job As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success. You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world's most reliable, cost effective and scalable network to support all of our current and future customers and users globally. As a Network Implementation Engineering, you will be responsible for the evaluation, design, and construction of Google's space in colocation facilities across the globe. You will plan, design, and generate construction level CAD drawings for the spaces we utilize across the globe. You will have a wide scope of background across the data center industry, including operations, engineering (network, electrical, or mechanical), making the time more effective at the work we perform. Google's network provides services to millions of Internet users around the world. Google's metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life cycle of all space, power, and network assets in all of Google's data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning. Responsibilities Design spaces that meet needs along with maintaining flexibility for the future. Create LISP routines to automate and improve drafting efficiencies. Review proposals, costs, and submittals related to the build of the colocation spaces. Understand entry level electrical engineering concepts related to deployments in data centers. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.