Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Currently tracking 514 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 607 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), Conversational AI Consultant (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (388 roles), India (50 roles), Singapore (43 roles), Poland (23 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, Android, YouTube Create Senior Software Engineer on the YouTube Create Client team, responsible for leading the design and implementation of complex features and infrastructure projects for an Android app that offers advanced editing tools, effects, and AI-powered media generation for content creators. | Ship | 5 |
| AI Sales Specialist, Google Cloud (English, Spanish) Sales role focused on growing Google Cloud's AI business by building customer relationships, demonstrating product functionality, and identifying AI use cases to deliver business value. The role involves working with customers and cross-functional teams to develop go-to-market strategies and drive pipeline growth. | — | 5 |
| Enterprise Architect, Professional Services, Google Cloud |
| Agent |
| 5 |
| Strategic Alliance Manager III, Security, Google Cloud This role is for a Strategic Alliance Manager III on the Google Cloud Security team. The primary focus is on developing and managing strategic partnerships with Managed Security Service Providers, Telcos, GSIs, and Cloud Partners to embed Google's Security suite of products. The role involves collaborating with Sales, Marketing, and Product Management to drive security sales, partner success, and business growth. It requires analyzing market trends, developing recommendations, and understanding partner business strategies. While the role is not directly building AI models, it involves working with AI/ML and cybersecurity solutions within a partner ecosystem. | — | 5 |
| Senior Software Engineer, Infrastructure This role is for a Senior Software Engineer on the Google Compute Engine (GCE) team, focusing on building and optimizing the foundational infrastructure for AI/ML workloads. The engineer will lead the introduction of new VM families, analyze and optimize VM performance, develop software components for reliability and performance, and provide engineering support for existing VM families. The role requires experience with IaaS, large-scale infrastructure, distributed systems, and virtualization, with a focus on supporting the growing demand for AI/ML computing. | — | 5 |
| Customer Engineer, AI Platform, Google Cloud (Japanese) Customer Engineer for Google Cloud's AI Platform, focusing on accelerating AI adoption by providing technical expertise, developing sales assets, and resolving customer blockers in the Japanese market. | — | 5 |
| Senior Software Engineer, Android CI Infrastructure Senior Software Engineer to build next-generation, AI-powered infrastructure supporting Continuous Integration (CI) systems for Android, Chrome, and ChromeOS. The role involves designing, implementing, and deploying scalable and reliable systems, with a focus on streamlining operational workflows using Agentic AI and enhancing system reliability. The engineer will also contribute to AI accelerated development and ensure the scalability and availability of infrastructure. | Serve | 5 |
| Software Engineer II, Enterprise Data Protection Software Engineer II, Enterprise Data Protection at Google, Singapore. This role focuses on building software systems to prevent data exfiltration of intellectual property, including threats from human or autonomous AI agentic actions. The engineer will design, test, deploy, and maintain these security controls across various Google systems. The role requires experience in full-stack development and has a preference for experience in security, machine learning, distributed systems, or AI, specifically agentic software engineering. | — | 5 |
| Design Verification Engineer, Google Cloud Silicon This role focuses on the design verification of custom silicon solutions for AI/ML hardware acceleration, specifically Google's Tensor Processing Units (TPUs). The engineer will own the full verification life-cycle, ensuring the reliability and performance of AI/ML workloads on TPU hardware by building constrained-random verification environments and collaborating with design engineers. The role is within the AI and Infrastructure team, which supports Google's AI models and hyperscale computing. | — | 5 |
| Senior AI Sales Specialist, Google Cloud (Japanese) This role is for a Senior AI Sales Specialist for Google Cloud in Tokyo, Japan. The primary focus is on growing the AI business by building customer relationships, demonstrating product functionality, and identifying use cases for Google's AI solutions. The role involves working with customers to deliver business value and helping them build new products leveraging AI. It requires a strong understanding of AI technologies and the ability to drive sales and achieve business goals. | — | 5 |
| Product Policy Lead, Generative AI This role focuses on policy development and recommendations for Generative AI products within Google's Trust & Safety team. The Product Policy Lead will collaborate with product managers and engineers to influence product decisions, drive research in the multimodal Generative AI space, and set industry standards. They will also provide updates to executives and partner with Deepmind on model-level policies. The role requires experience in policy, legal, or trust and safety environments, with a focus on AI-related policy issues. | — | 5 |
| Software Engineer III, Infrastructure, Google Workspace This role is for a Software Engineer III on the Google Workspace Infrastructure team, focusing on building AI-powered productivity tools for the future of work. The engineer will write product or system development code, participate in design reviews, review code, contribute to documentation, and triage/debug system issues. The role involves working with AI model builders and impacting billions of users by enhancing products like Gmail, Docs, and Meet with AI capabilities such as pre-computed summaries and AI avatar-generated videos. | Ship | 5 |
| Software Engineer, Fleet Analytics, PhD, Early Career, 2026 This role is for a PhD Software Engineer focused on Fleet Analytics within Google Cloud's AI and Infrastructure organization. The role involves designing, developing, and maintaining software solutions, with a focus on advanced optimization models. While the organization works with AI/ML systems, this specific role's primary output is optimization models and platform capabilities, not direct AI/ML model development or deployment. | — | 5 |
| Security Engineer, Enterprise Security AI This role focuses on enterprise security for AI products, specifically assessing and securing AI agents and features. The engineer will develop threat models, implement guardrails, and advise on mitigating risks associated with AI use within Google's products and third-party AI products. | Agent | 5 |
| Software Engineer, PhD, Performance, Reliability, Observability, Early Careers Software Engineer role focused on developing debugging, profiling, and analytics tools for Google Cloud. The role involves working with large-scale systems and exploring the use of machine learning for anomaly detection in cloud control plane systems. | — | 5 |
| Security Software Engineer, Emerging On-prem AI infrastructure This role is for a Security Software Engineer focused on emerging on-prem AI infrastructure at Google. The engineer will work on operating system and hardware security features, design security solutions, and review code. While the role is within an AI-focused team and supports AI model development, the core responsibilities are in security engineering for infrastructure, not direct AI/ML model building or research. | — | 5 |
| Software Engineer, Performance, Reliability, Observability, PhD, Early Careers Software Engineer role focused on performance, reliability, and observability tools for Google Cloud. Explores using ML for anomaly detection in control plane systems. Requires a PhD and experience in software development, large-scale infrastructure, and distributed systems. Experience with data analysis, big data, or machine learning is preferred. | — | 5 |
| Software Engineer, PhD, Early Careers, Google Cloud Google is seeking a Software Engineer with a PhD for their AI and Infrastructure team in Taipei. This role focuses on developing and scaling AI and infrastructure capabilities for Google customers, including internal teams, Google Cloud customers, and end-users worldwide. Responsibilities include writing product/system development code, participating in design reviews, code reviews, contributing to documentation, and triaging/debugging system issues. The role requires a PhD in Computer Science or equivalent, and experience with C, C++, Java, or Python, and distributed systems. Experience with performance analysis, large-scale systems, and debugging is preferred. | — | 5 |
| Software Engineer III, Infrastructure, AI and Infrastructure Software Engineer III on the AI and Infrastructure team at Google, focusing on building and scaling the infrastructure that powers AI models and services. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires experience in C++, Python, or Go, and large-scale infrastructure/distributed systems. Preferred qualifications include a Master's/PhD, performance analysis, and data structures/algorithms. | Serve | 5 |
| Software Engineering Manager II, Infrastructure, Google Cloud Compute This role is for a Software Engineering Manager II on the AI and Infrastructure team within Google Cloud Compute. The manager will lead teams responsible for delivering AI and Infrastructure at scale, supporting Google's AI models and global services. Responsibilities include setting team priorities, developing technical roadmaps, guiding system designs, and managing engineers. The role requires significant experience in software development, large-scale infrastructure, and technical/people leadership. | — | 5 |
| Software Engineer, PhD, Early Career, Infrastructure, 2026 Start Google is seeking PhD graduates for Software Engineer roles focusing on developing next-generation technologies. This role involves contributing to large-scale systems across various domains, including AI and Infrastructure, Cloud, and more. The position requires strong software engineering skills, research expertise, and the ability to work on critical projects, potentially switching teams and projects as the business evolves. The role emphasizes versatility, leadership, and problem-solving across the full stack. | — | 5 |
| Software Engineer, Performance, Reliability, Observability, PhD, Early Career Software Engineer role focused on performance, reliability, and observability tools for Google Cloud control plane systems. The role involves analyzing VM performance, developing performance models, designing benchmarks, and exploring the use of machine learning for anomaly detection. While the core is engineering and performance analysis, there's an exploration component involving ML for anomaly detection. | Serve | 5 |
| Senior Software Engineer, Infrastructure, Platforms Infrastructure Engineering Google is seeking a Senior Software Engineer for their Platforms Infrastructure Engineering team. This role focuses on developing and enhancing large-scale infrastructure, distributed systems, and networks that support Google's AI models and services. The engineer will write and test code, participate in design reviews, review code from peers, contribute to documentation, and triage/debug system issues. The role requires experience in C++, Python, or Go, and a strong background in large-scale infrastructure or distributed systems. | — | 5 |
| Senior Software Engineer, Infrastructure, Google Cloud AI Google is seeking a Senior Software Engineer to join their AI and Infrastructure team, focusing on delivering AI and Infrastructure at scale. The role involves designing, developing, testing, and maintaining software solutions for large-scale systems, distributed computing, and AI model development platforms. This position requires strong software engineering skills in languages like C++, C, or Python, and experience with infrastructure, distributed systems, or compute technologies. | — | 5 |
| Software Engineer III, Full Stack, Google Cloud Software Engineer III, Full Stack role within Google Cloud's AI and Infrastructure team, focusing on building and enhancing large-scale AI and infrastructure solutions that empower Google customers and users worldwide. The role involves full-stack development, managing project priorities, and contributing to the innovation of hyperscale computing technologies. | — | 5 |
| Staff Software Engineer, Google Cloud Staff Software Engineer role at Google Cloud, focusing on AI and Infrastructure. The role involves providing technical leadership, managing projects, and designing/developing large-scale software solutions that support Google's AI models and infrastructure. While the team works with AI, the core responsibilities are in software engineering and infrastructure, not direct AI/ML model development. | — | 5 |
| Software Engineering Manager, Pixel Hearables Software Engineering Manager for Google Pixel Hearables, responsible for leading a team, defining product strategy, and driving test automation. The role involves managing engineers, mentoring, and advocating for the use of AI tools to improve testing processes. While AI is mentioned as a tool to enhance efficiency, the core function is product development and quality assurance for consumer hearable devices. | — | 3 |
| Data Architect, Google Cloud Data Architect for Google Cloud, focusing on designing and implementing data solutions for financial services customers, including data governance, hybrid/multi-cloud strategies, and emerging agentic technologies. The role involves building relationships with stakeholders and ensuring compliance with regulations. | — | 3 |
| Senior Staff DSP Design Engineer, Google Cloud This role focuses on designing custom silicon solutions for Google's direct-to-consumer products and Google Cloud, specifically for high-speed data paths and interconnects. The engineer will define roadmaps, evaluate technologies like CPO and advanced FEC, and contribute to the ML, Systems, & Cloud AI organization. Responsibilities include identifying limits of DSP architectures, defining requirements for test chips, driving power-reduction roadmaps, and representing Google in industry standards bodies. | — | 2 |
| Strategic Partner Development Manager, AI Pureplay, EMEA This role focuses on driving the recruitment and adoption of partners for Google Cloud services, particularly within the AI Pureplay sector in EMEA. The manager will foster executive alignment, develop co-innovation plans, and orchestrate co-selling motions. Key responsibilities include managing capacity planning for partner resources, supporting partners in complex customer environments, driving commercial structures for ROI, and acting as a liaison between partners and internal Google Cloud AI Product and Engineering teams. The role requires experience in partner management and coordinating AI/ML technical transformations. | — | 2 |
| Software Engineer, Google Wallet Software Engineer for Google Wallet focusing on building new capabilities and collaborating with cross-functional teams. The role involves designing, developing, testing, deploying, and maintaining software for Google Wallet, with an emphasis on user-facing features and leveraging AI-powered development tools. | — | 2 |
| Creative Partnerships Associate This role focuses on developing and executing creative strategies for clients, leveraging creative AI to influence marketing leadership and shape advertising strategies. It involves consulting with clients, partnering with internal teams, and translating creative experimentation into measurable business outcomes. The role requires experience in creative roles within advertising or digital media, with a preference for expertise in Google/YouTube ad solutions and generative AI. | — | 2 |
| Quality Control Manager, Customer Support, gTech Ads This role is for a Quality Control Manager within Google Ads gTech, focusing on customer support and media/technical services. The manager will set quality processes, drive stakeholder management, share quality assurance insights, and standardize processes across regions. While the role mentions "agentic space" and "Machine Learning as relevant to quality and customer experience (CX) overall", and "AI Ml tools/agentic solutions exposure" as preferred qualifications, the core responsibilities are focused on quality control, process improvement, and customer support within the advertising domain, not on building or directly deploying AI/ML models or systems. The primary focus is on managing quality for existing ad products and customer interactions. | — | 1 |
| Go-To-Market Lead, Sub-Saharan Africa, MENAT and South Asia, Google for Education This role is a Go-To-Market Lead for Google for Education in emerging markets, focusing on driving the adoption of AI tools like Gemini and Chrome within educational institutions. The lead will develop and execute go-to-market strategies, build partnerships, manage teams, and engage with government and academic leaders to integrate AI into education. | — | 1 |
| Software Engineer Manager II, Silicon Tools Manage a team of engineers developing debug and analytics tools for Google's custom silicon, focusing on hardware/software co-design and improving internal team productivity. The role involves leading design reviews, collaborating cross-functionally, and overseeing work with early hardware prototypes. A key aspect is directing the application of GenAI to pinpoint silicon issues and enhance team productivity. | — | 1 |
| Product Lead, YouTube Ecosystem Product Lead for YouTube Ecosystem, responsible for the technical relationship with advertising clients and product partners, leveraging emerging technologies and overseeing technical execution of Google's online advertising platforms. The role involves defining product backlogs, collaborating with stakeholders, leading sprint planning, and ensuring successful release execution. | — | 1 |
| Staff Software Engineering Tech Lead, YouTube Living Room Lead the development of YouTube experiences for living room devices, focusing on performance optimization and cross-team integration. The role involves technical leadership, mentoring engineers, and leveraging AI tools for development acceleration. | — | 1 |
| Software Engineering Manager, Health and Home Infrastructure Google is seeking a Software Engineering Manager for the Health and Home Infrastructure team. This role involves technical leadership, team management, and contributing to product strategy. The team focuses on scalable and efficient serving and offline infrastructure, developer platforms, APIs, and data services for Home and Health products, with an increasing usage of AI. The manager will optimize performance, improve reliability, reduce costs, ensure high engineering quality, and foster a strong engineering culture. | — | 1 |
| Software Engineer, Persistent Disk, PhD, Early Career, 2026 Google is seeking a PhD Software Engineer for their AI and Infrastructure (AI2) organization in Bengaluru. This role focuses on developing next-generation storage architectures, backup, and replication solutions. The engineer will drive research initiatives, improve system reliability and performance, and collaborate with stakeholders. The position requires a PhD in a related technical field and experience in data storage, distributed systems, and research publication. While the role is within an AI/ML-focused organization, the core responsibilities are in data storage and distributed systems engineering, not direct AI model development. | — | 1 |
| Technical Solutions Consultant Manager Leads a team managing solutions to improve efficiency for Google's Ads customer support experiences, leveraging generative AI technology. Partners with stakeholders to define technical roadmaps, design infrastructure, and implement scalable solutions. Works with Google's infrastructure to manage big problems over large datasets. | — | 0 |
| Sales Manager, SMB, Gemini Enterprise and Google Workspace Sales Manager for Gemini Enterprise and Google Workspace, focusing on SMB customer acquisition and team leadership within Google Cloud Platform. | — | 0 |
| Senior Software Engineer, Chrome Web Store Platform Senior Software Engineer for the Chrome Web Store Platform team, focusing on operational integrity, product excellence, regulatory compliance, and storefront functionality. Responsibilities include designing, developing, testing, deploying, maintaining, and improving software for the CWS platform, leading technical design, scoping complex problems, and collaborating with cross-functional teams. Requires a Bachelor's degree in CS or equivalent experience, 5 years of software development experience, 3 years of testing/maintaining/launching software, and 1 year of software design/architecture experience. Preferred qualifications include a Master's/PhD and experience with Java, Kotlin, or Typescript. | — | 0 |
| Senior Product Design Engineer, Pixel Accessories Senior Product Design Engineer for Google Pixel accessories, focusing on mechanical design from concept to mass production. Responsibilities include collaborating with suppliers and cross-functional teams, root cause analysis of design/manufacturing issues, and balancing various design considerations. The role involves shipping consumer products and requires expertise in CAD tools and manufacturing methods. | — | 0 |
| Staff Software Engineer, Pixel Graphics Staff Software Engineer for Pixel Graphics at Google, focusing on GPU driver development and graphics software for Pixel devices. The role involves technical leadership, feature development, performance improvements, and collaboration with hardware and software teams. | — | 0 |
| Software Engineer, Colab This role is for a Software Engineer on the Colab team at Google, focusing on delivering user experiences for data science and machine learning practitioners. The team builds and supports the product's user interface, aiming to create intuitive, scalable, and reliable surfaces for data science problems. They are also responsible for building next-generation, AI-native data science tools on top of the Colab stack. The role involves supporting production services, frontend modernization, collaborating on feature development, and building robust frontend components. | — | 0 |
| Software Engineer III, Pixel Performance, SoC Software Engineer III role focused on Pixel device performance, SoC bring-up, power efficiency, and developing algorithms for Android workload efficiency. Requires experience with embedded operating systems and software development. | — | 0 |
| Network Engineer, Google Distributed Cloud Labs This role is for a Senior Network Engineer on the Google Distributed Cloud (GDC) Labs team, responsible for architecting, implementing, and maintaining the network infrastructure for GDC products. The role involves leading network projects, solving technical issues, and contributing to lab network designs, with a focus on reliability, security, and efficiency. The engineer will manage core lab network services, design external connectivity, and diagnose complex network issues. | — | 0 |
| Administrative Business Partner, DeepMind (Fixed Term Contract) Administrative Business Partner for Google DeepMind, a pioneering AI lab. This role supports leadership by managing complex schedules, coordinating travel, streamlining processes, facilitating meetings, and executing events. Requires 3 years of administrative experience. | — | 0 |
| Senior Software Engineer, Security/Privacy, Google Cloud Security and Privacy This role is for a Senior Software Engineer on the Google Cloud Security and Privacy team. The engineer will be responsible for developing, testing, and maintaining software solutions related to security and data privacy within the Google Cloud platform. The role requires experience in programming languages like C++, Java, or Go, and a background in building software for data privacy or security. While AI/ML is mentioned as a broad area of interest for Google's technologies, this specific role focuses on security and privacy engineering within the cloud infrastructure, not on building or deploying AI models. | — | 0 |
| Software Engineer III, Infrastructure, Google Cloud NetInfra Software Engineer III on the Google Cloud NetInfra team, focusing on infrastructure that supports AI development and deployment at scale. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires a Bachelor's degree, 2 years of experience in C++, Python, or Go, and 2 years of experience with large-scale infrastructure, distributed systems, networks, or compute technologies. Preferred qualifications include a Master's/PhD, experience with performance analysis, data structures, algorithms, and accessible technologies. | — | 0 |
