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Minimum qualifications: PhD degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience. Experience applying mathematical techniques to solve large-scale, intractable problems. Experience conducting advanced research in Computer Science, Applied Mathematics, or relevant experience. Preferred qualifications: PhD in Statistics, Applied Mathematics, Operation Research, or a related field. Experience with mathematical optimization (e.g., LP, IP, MIP, NLP). Understanding of private and public cloud design considerations and limitations in the areas of virtualization and global infrastructure, distributed systems, load balancing and networking. 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.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions. Within Google Cloud, the AI and Infrastructure (AI2) organization is at the forefront of creating AI/ML capabilities. We are responsible for designing and managing the software, hardware, and Machine Learning (ML) systems infrastructure that power essential Google services such as Search and YouTube, as well as Google Cloud products.As a PhD Software Engineer within AI2, your specialized research expertise will be instrumental in solving complex, real-world problems on an unprecedented scale. You will engage in innovative projects spanning areas like AI/ML, networking, data storage, security, and distributed systems.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 Design, develop, and maintain advanced optimization models (e.g., mixed integer programming). Design and develop other platform capabilities. Experiment and prototype for foundational tech stacks comparison and selection. Implement, deploy, and rollout features following safe rollout practices. Interact with users, partner teams for feature scoping, rollout support, and training. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Currently enrolled in a degree program (Bachelor's, Master's or PhD) in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences. Experience in motor tuning and control or mechatronics system integration Preferred qualifications: Currently enrolled in a full-time degree program and returning to the program after completion of the internship. Experience as a researcher (e.g., internships, full-time, or at a lab). Experience contributing to research communities or efforts, including publishing papers in major conferences or journals. Experience in real-time computer vision and validation. Experience or skillets in AI/LLM-driven motion signals and autonomous spatial positioning. About the jobThe Student Researcher Program fosters academic collaborations by hiring students onto research projects aligned to company priorities in scientific advancement. The program offers placements on teams across Google, for research, engineering, and science roles. As a Student Researcher, you will have the opportunity to participate in research projects focused on developing solutions for real-world, large-scale problems.Student Researcher projects are exploratory and direct experiences that drive scientific advancement across a multitude of research areas. Students will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies.The program is open to students enrolled in a Bachelor’s, Master’s, or PhD program. Projects vary in duration and location based on team and student requirements. It is required that you are located in one of the specific country locations identified for this role for the full duration of the engagement. When you apply, you will be considered for Student Researcher positions across all of Google's research teams including DeepMind, Google Research, Google Cloud and more. This allows us to find the right project match for your skills and interests.Researchers across Google are working to advance in computing and build the next generation of intelligent systems. We invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.Researchers across Google are working to advance the computing and build the next generation of intelligent systems for all Google products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.Responsibilities Participate in research to develop solutions for real-world, large-scale problems. 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.

Minimum qualifications: Master's degree in a Statistics, Engineering, Sciences, or a related quantitative field, or equivalent practical experience. 7 years of experience with using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 3 years of experience as a people manager within a technical leadership role. Experience with building and deploying machine learning models for business applications. Preferred qualifications: PhD in Computer Science, Statistics, Engineering, or a related quantitative field, or equivalent practical experience. 9 years of experience with using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience in collaborating with executive leaders and driving cross-functional alignment, with excellent stakeholder management skills. Experience with leading, developing, and prioritizing work for an offshore pod across timezone. Excellent technical and applied ML skills, with the ability to drive technical designs. About the jobGoogle's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. In this role, you will act as a key leader to own and scale outcomes for the new Artificial Intelligence (AI)-focused demand. You will hire, mentor, and lead a Data Science pod based in India to drive data science initiatives for People Operations use cases. You will bridge the gap between business questions and advanced technical execution. You will provide the advanced technical leadership, solution code design, and cross-functional alignment required to guide the team and ensure these models are built to Google's standard from day one. You will drive technical conversations and guide the overarching architecture while managing executive stakeholder influence and advocating AI transformation across the organization.Responsibilities Hire, manage, and coach a Data Science pod based in India. Build community, promote a welcoming environment, and develop a performing team of data scientists. Provide technical expertise and knowledge of Machine learning, Agent development lifecycle, statistical analysis, applied mathematics, and data science applications to review solution design, Python code, and guide technical architecture. Translate business questions into analysis, define data requirements, and develop project roadmaps for open-ended problems. Oversee development, deployment, and integration of Artificial Intelligence/Machine Learning (AI/ML) models, such as predictive models, Natural Language Processing (NLP) models, AI solutions and adverse impact analysis. Utilize executive communication to persuade executive leaders, align partner teams with engaging goals, and integrate workstreams across multiple People Operations initiatives. 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.

Note: This is a mirrored copy of the posting from AMD's Career Page. For the official and most up-to-date listing, please refer to AMD's Career Page.---WHAT YOU DO AT AMD CHANGES EVERYTHINGAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE:Technology leader to drive co-packaged optics (CPO) development from concept to production. Successful candidate would collaborate with product design teams and technology development partners to understand future product needs and define a CPO roadmap that includes process definition, Design for Manufacturing (DFM) and Design for Yield (DFY) guidelines. He/she will be responsible for driving technology development initiatives from concept to qualifications. Successful candidate would lead cross functional teams across geos in designing and developing novel technologies and processes. Si photonics based optical engine package architecture / Package integration and drive micro-optical component assembly/interface characterization through Innovation Work with foundry and OSAT to bring Si photonics packaging solution from concept to HVM. He/she will be responsible for executive level communication on technology development progress, driving technical problem solving to address yield, reliability and process development challenges as needed. The candidate will also engage with worldwide ecosystem partners to gather data, analyze, and identify solutions.THE PERSON:Should possess a proven track record of delivering innovative photonics and packaging solution from concept to production. The candidate should have a proven track record of driving technology development in the semiconductor field. He/she should have leadership experience driving engineering teams in architecture definition, process definition and/or yield improvement. The candidate should have excellent oral and written communication skills to share complex signals/recommendations with technology partners, colleagues, product architects and AMD managementKEY RESPONSIBILITIES: - Work with product architects in early definition stage to understand and define package architectures, roadmap - Design multi-fiber optical connectors and work with external vendors to develop connector eco-system - Lead new package technology development initiatives including 2.5D and 3D packaging from concept to full technology qualification - Drive Test vehicle design and manufacturing to establish design rules, DFM/DFY guidelines - Establish Yield roadmap and lead implementation of yield, data analytic tools as needPREFERRED EXPERIENCE: - Prior experience in developing and deploying Silicon photonics solutions to the market - Prior experience developing photonics coupler assembly, test, DFM - Good experience in semiconductor technology development role - Good experience working with manufacturing partners such as suppliers, OSATs and foundry partners. - In-depth knowledge of various packaging architectures such as 3D die stacking, 2.5D CoWoS and Fan-out packaging - Good experience in a leadership role driving cross-functional teams - Proven track of leading technology qualification for advanced data-center productsACADEMIC CREDENTIALS:BS/MS/PhD in Material Science, Mechanical Engineering, Computer Science, Applied Mathematics, Electrical Engineering, or equivalentLOCATION:Kaohsiung, Taiwan#LI-SC1#LI-HYBRID Benefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, other relevant engineering discipline, or equivalent practical experience. 15 years of experience working as a technical software engineering leader or 13 years with an advanced degree. Experience with technical innovation within cross-functional engineering environments. Preferred qualifications: Master's degree or PhD in Computer Science, Mathematics, or other relevant engineering discipline. Experience successfully producing software products and large-scale distributed systems. Experience with building enterprise-grade and highly scalable cloud platforms, products, and large-scale distributed systems. Experience with operating systems, distributed systems, IaaS components. About the jobWe are seeking a highly accomplished and visionary principal engineer to lead the technical strategy and development for Google Cloud's next generation of AI-powered database intelligence. This pivotal role will focus on integrating cutting-edge Gemini AI capabilities across our database offerings, delivering proactive insights and transforming how customers manage and optimize their database environments.In this role, you will be instrumental in shaping the future of database operations. You will define the long-term technical strategy for these groundbreaking initiatives, collaborating closely with product, engineering, and research leadership to ensure seamless alignment between technology innovation and business objectives. You will leverage your deep expertise in cloud-native architectures, large-scale data systems, and applied AI to design and build highly scalable, secure, and intuitive solutions.You'll work alongside other technical leads on complex problems spanning applied AI, agentic architectures, and distributed systems, ensuring operational excellence, production accuracy, and exceptional software quality. Your leadership will be critical in driving engineering productivity and establishing Google Cloud as the undisputed leader in AI-powered intelligent databases.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 architecture and technical direction for the team by being an expert in cloud application management. Strategize and create the technical roadmap for building agentic, LLM-powered platforms, analytics, and tooling to transform the Google Cloud Databases experience. Influence, guide, mentor, and direct multiple engineering technical leads across each product area. 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.

To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):In the “Resume Section:” attach an updated CV or resume. Please ensure you include the following in it, all consolidated in a single PDF:Research work: Projects, Publications, Research experience and References (if any)Statement of purpose (no more than 500 words), detailing reasons for your interest in the Post-Doctoral Researcher role. Please ensure you’ve listed your graduation date (in MM/YY) In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,” select “Now attending/Graduated” to upload a transcript.If you think this role interests you, please apply to this role.Minimum qualifications: PhD degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics) or equivalent practical experience. Experience with one or more general purpose programming languages: Python, C/C++, or Java, etc. and training deep learning models in frameworks such as JAX, TensorFlow, or PyTorch. Research experience in machine learning or AI techniques (e.g., open source project(s), campus lab experience, research internship(s), or publication(s)). One or more scientific publication submission(s) in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications: Master’s degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics), or equivalent practical experience. Ability to work and collaborate across multiple teams and work with ambiguity. About the jobThe Post-doctoral Researcher role is a 12 to 24-month role designed to give you industry experience working on challenging problems together with Google DeepMind India scientists and engineers in India.As a Post-Doctoral Researcher, you will collaborate with researchers, scientists, and engineers at Google DeepMind India working on fundamental research and applied problems in a wide range of areas in Computing. You will have a wide range of opportunities ranging from conducting fundamental research and exploring their applications in products and services used by billions of people, and conducting research that contributes to human-centered AI and catalyzes AI for social good.Google DeepMind India addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field we publish regularly in top-tier conferences,academic journals, release projects as open source, and apply research to Google products.Responsibilities Work with research mentors to formulate research projects or novel applications of machine learning aligned with the team's mission. Conduct research and publish high quality work. Design and execute large-scale experiments, writing high-quality, reusable code, and contributing to a production-ready system using frameworks such as JAX. Learn and understand research in machine learning algorithms. Understand how to use research to drive design decisions. 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.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in a technical project management or a customer-facing role. Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 8 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. 3 years of experience in a technical leadership role with/without direct reports. About the jobAs a Technical Partner Engagement Manager, you will utilize your video technology experience, industry expertise and existing relationships to advance YouTube’s global strategy. You will collaborate with cross-functional teams, both internally and externally, to build operational processes that deliver TV and media experiences for our partners.In this role, you will be organized with attention to detail, along with excellent planning and tracking progress of key milestones, developing and maintaining relationships with our partners and stakeholders. You will be a leader who is passionate about YouTube and next generation media offerings, is an excellent problem solver and communicator, comfortable with ambiguity, and able to keep the team strategically focused.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 Lead a team that is responsible for the on-boarding and ongoing operations relationships with some of YouTube’s strategic TV and media partners. Leverage TV and media industry expertise to identify and cultivate new content and technology opportunities and provide regular partner intelligence updates to cross-functional teams. Ensure the team understands and represents YouTube’s technical interests during partner agreement negotiations and can identify potential operational risks or mitigate those risks via cross-functional collaboration and creative problem solving with our partners. Drive collaboration with internal teams to refine existing processes and tools used by partners and operators. Partner with our Product, Business and Strategy teams to identify new partnership opportunities and support the operational needs for the region and product. Create and manage partner on-boarding timelines for APAC. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 3 years of experience in Python and a related machine learning package (e.g., Keras, PyTorch, HF Transformers). Experience in applied AI, with building systems around pre-trained models (e.g., prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), orchestrating model interactions with external tools to deliver solutions). Experience with architecting, deploying, or managing solutions on a Cloud Platform (e.g., Google Cloud Platform). Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience with implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s ADK) and patterns like ReAct, self-reflection, and hierarchical delegation. Knowledge of Large Language Model (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the jobIn this role, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will manage blockers to production including solving the integration issues, data readiness issues, and state-management tests that prevent AI from reaching enterprise-grade maturity. You will be providing deployment of AI systems and act as a feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.Responsibilities Serve as a developer for Artificial Intelligence (AI) applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive Return on Investment (ROI). Architect and code the connection between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of a team. Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety and latency. Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption. 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in either system design or reading code (e.g., Java, C++, Python). Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 8 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. 8 years of experience with data analysis and SQL/MySQL. 8 years of experience in a customer-facing role. 8 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc). 8 years of experience working with Unix or Linux operating systems/commands. About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Prioritize and deliver outstanding customer service throughout the customer journey, troubleshooting and resolving issues with Google's advertisers and Sales teams, agencies and partners. Learn our AI powered Ads products like AIMax, PMax, and Ads Platforms. Troubleshoot complex technical product issues and apply deep product expertise to solve technical customer issues and escalations. Develop tools and automation for better diagnostics/data fixes and debugging, either independently or in partnership with Product Engineering teams. Improve product feature offerings by providing partner feedback to internal cross-functional teams, including Product Management, Engineering and Business Solutions teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 3 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in either system design or reading code (e.g., Java, C++, Python). Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. 5 years of experience in operations management (i.e., process improvement, operational reviews, optimizing workflows, etc.). 5 years of experience working with Unix or Linux operating systems/commands. 5 years of experience with data analysis and SQL/MySQL. 5 years of experience in a customer-facing role. About the jobgTech 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. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Prioritize and deliver outstanding customer service throughout the customer journey, troubleshooting and resolving issues with Google's advertisers and Sales teams, agencies and partners. Lead the technical investigation, triage, and resolution of complex escalations related to identity management, authentication pipeline failures, and unauthorized access vectors within the Ads ecosystems. Act as the technical engineer on passwordless authentication rollouts, directly supporting the mandate, troubleshooting, and implementation of Passkey technology (WebAuthn/FIDO2) for enterprise customers. Develop tools and automation for better diagnostics/data fixes and debugging, either independently or in partnership with Product Engineering teams. Partner directly with Product Engineering and Trust and Safety teams to identify systemic vulnerabilities in the authentication stack, executing precise bug routing and advocating for infrastructure-level fixes. 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.