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 526 active AI roles, with 1251 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $234k).
Google currently has 612 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), AI Outcome Customer Engineer, Forward Deployed Engineering (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (44%), serving infrastructure (25%), 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 (383 roles), India (51 roles), Singapore (43 roles), Poland (26 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 599 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Hardware Validation Engineer, ML Products, University Graduate This role is for a Hardware Validation Engineer supporting end-to-end testing for machine learning hardware in Google's data centers. The engineer will plan and execute tests, interface with design engineers, analyze results, and report bugs. The role involves using lab equipment for electrical, functional, performance, and reliability testing. | — | 5 |
| Software Engineer III, Infrastructure, Cloud AI Software Engineer III, Infrastructure, Cloud AI at Google to improve the XLA compiler stack for ML models on TPU, GPU, and CPU hardware. Focus on enhancing compiler stability, usability, and productionizing integration with ML frameworks, supporting internal ML teams and Google Cloud offerings. | Serve | 5 |
| Software Engineer III, Google Workspace |
| Ship |
| 5 |
| Product Manager II, Google Cloud Product Manager for Google Cloud, focusing on enterprise AI and infrastructure. This role involves driving product strategy, defining and delivering cloud services, and developing product solutions for the enterprise market. The position is within the AI and Infrastructure team, which aims to empower customers with AI capabilities at scale. | — | 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 |
| Senior Product Manager, Generative AI, Google Cloud Product Manager for Generative AI on Google Cloud Platform, focusing on developing and launching AI-driven experiences and solutions. The role involves leading product roadmaps, collaborating with engineering and design teams, and staying updated on the latest Generative AI technologies to evolve product offerings and solve critical business problems for enterprise customers. | — | 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 |
| Data Science Research Lead, Ads Insights and Measurement This role focuses on applying advanced statistical methods, particularly causal inference and differential privacy, to design experiments, assess attribution, and develop privacy-preserving marketing products within Google's advertising ecosystem. The lead will translate these methodologies into deployed products, provide technical guidance, and shape global strategies. While ML is mentioned as a preferred qualification, the core focus is on statistical analysis and causal inference for measurement and product development, not core AI/ML model building. | — | 3 |
| Business and Marketing Data Scientist II This role focuses on applying data science and advanced analytics to marketing challenges within Google's Business Operations team. Responsibilities include supporting media strategy, measurement, and optimization, developing evaluation frameworks, and identifying performance predictors. The role requires experience in analytics, coding, and managing brand measurement frameworks like MMM and MTA. | — | 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 |
| 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 |
| Technical Solutions Consultant This role is a Technical Solutions Consultant at Google Cloud, focusing on advising customers on cloud solution implementations. While it involves some experience with model deployment and fine-tuning, its core function is customer-facing technical consulting and solution architecture, not direct AI/ML model development or research. | — | 2 |
| Senior Software Engineer, ML Networking This role focuses on building and implementing ML networking infrastructure for Google Cloud, specifically enhancing GPU-to-GPU communication and enabling ML workloads. While it supports ML, the core craft is in networking infrastructure and engineering, not direct AI/ML model development. | — | 2 |
| Firmware Engineer, Layer 3 Cellular Protocol Stack, Pixel Firmware Engineer for Google Pixel's cellular protocol stack, focusing on RRC protocol development and optimization. The role involves AI-based tool development for process automation and performance improvement, alongside traditional firmware engineering tasks. | — | 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 |
| Engineering Analyst, Payments Trust and Safety This role focuses on managing payment fraud and abuse mitigation within Google's Payments Trust and Safety team. It involves identifying trends, performing statistical analysis, assessing product vulnerabilities, and collaborating with engineering and product teams to implement mitigation strategies and improve systems. The role requires experience in data analysis, project management, and the payments industry, with a preference for those with knowledge in programming, statistical analysis, machine learning, LLMs, or Generative AI Agents. | — | 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 |
| 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 Sub-Saharan Africa, MENAT, and South Asia. The primary focus is on driving the adoption of educational technology, including AI tools like Gemini and Chrome, across government structures and educational institutions. The role involves architecting and executing go-to-market strategies, driving revenue growth, managing and developing teams, building executive relationships, and cultivating partner ecosystems. While AI is mentioned as a key component of the educational tools and strategies, the core function of the role is sales, strategy, and team management, not direct AI/ML development or research. | — | 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 |
| Engineering Analyst, Payments Trust and Safety This role focuses on managing payment fraud and abuse mitigation, investigating incidents, performing statistical analysis, and assessing product vulnerabilities to design and implement risk management solutions within the Payments Trust and Safety team at Google. The role involves collaboration with engineering and product teams to improve systems and tools, with a focus on ensuring user trust and safety in the payments environment. | — | 1 |
| Software Engineer Manager, Platforms Release Engineering, Google Cloud Software Engineering Manager for Google Cloud Platforms Release Engineering in Taipei. This role focuses on managing a team of engineers to ensure the quality, scalability, and performance of platform system software for Google data centers, including computation, storage, and accelerators. The manager will lead software qualification and release pipelines, collaborate with cross-functional teams, and adopt AI technologies to enhance test engineering productivity. The role requires strong technical leadership, people management, and experience in software development, testing, and release management. | — | 1 |
| Global Business Solutions Consultant, International Growth (Mandarin, English) This role focuses on developing and scaling strategies to leverage AI for client pain points and internal efficiency, working within Google's Global Business Solutions team to drive international growth for businesses. It involves C-level engagement, designing solutions, and collaborating with sales teams. | — | 1 |
| Senior Staff DSP Design Engineer, Google Cloud Senior Staff DSP Design Engineer role focused on developing custom silicon solutions for Google's direct-to-consumer products and Google Cloud. The role involves defining roadmaps for high-speed data paths, evaluating technologies like Co-Packaged Optics (CPO), advanced modulation formats, and Forward Error Correction (FEC) for AI computing clusters. Responsibilities include identifying limits of DSP architectures, defining requirements for DSP test chips, driving power-reduction roadmaps, and representing Google in industry standards bodies. | — | 1 |
| Software Engineer III, Mobile iOS, Google Photos Search iOS Software Engineer for the Search team in Google Photos, building user experiences for over a billion users. Focuses on client-side development, modernizing codebases, and enabling feature launches. | — | 1 |
| Senior Firmware Engineer, Layer 3 Cellular Protocol Stack This role is for a Senior Firmware Engineer focused on the Layer 3 Cellular Protocol Stack within the Pixel Mobile Wireless (PMW) team. The engineer will design, develop, and optimize the RRC protocol stack, including research of RRC layer features, analysis of RRC layer issues, and AI-based tool development for call performance analysis. The role involves cross-layer collaboration and optimizing processes using AI-related strategies for automation in issue analysis and testing. While AI tools are mentioned for optimization, the core deliverable is firmware for the RRC protocol stack, not AI models or agents themselves. | — | 1 |
| Senior Software Engineer, TV Systems Performance Senior Software Engineer focused on performance tuning and optimization for TV systems and devices. The role involves leading performance tuning for partner launches, optimizing reference designs, evolving Gemini-assisted tools for performance analysis, evaluating industry shifts, and collaborating with hardware providers and cross-functional teams for system-level optimizations. Requires experience in software development, Android application development, and performance/large-scale systems data analysis. | — | 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 |
| Software Engineer, Open Source Security Software Engineer role focused on improving the security of open source software supply chains by building tools for understanding, improving, and securely releasing open source software. The role involves finding security vulnerabilities and advocating for secure practices within Google and the external community. | — | 0 |
| Senior Ads Solutions Engineer This role is for a Senior Ads Solutions Engineer within Google's gTech Ads team. The primary focus is on providing technical services, support, and media solutions for Google's Ad products. The engineer will collect requirements, design and build scalable solutions, and adapt existing solutions for global reuse. The role involves partnering with cross-functional teams to improve products and customer experience, ensuring customers maximize their return on investment with Google. | — | 0 |
| Senior Software Engineer, Diagnostics, Tools, Google Cloud Senior Software Engineer role focused on enhancing diagnostic infrastructure and tools for Google Cloud platform, particularly for New Product Introduction (NPI) projects. The role involves leading teams, managing projects, and debugging diagnostic tools to improve quality, performance, and coverage. While the organization works with AI/ML infrastructure, the core responsibilities of this specific role are in software development, system programming, and diagnostics, not direct AI/ML model development or deployment. | — | 0 |
| Sector Lead, Finance, Tech, Telco, Large Costumer Sales (Spanish, English) Sales leader for Google's Large Customer Sales (LCS) team in Mexico, focusing on the Finance, Tech, and Telco verticals. The role involves managing a sales team, developing C-level relationships, driving digital transformation for clients using Google's advertising solutions, and contributing to the growth of Google and its customers in the AI-era. | — | 0 |
| Communications Insights and Measurements Analyst, DeepMind This role focuses on communications insights and measurements within Google DeepMind, analyzing media, social landscapes, and user behavior to optimize communications strategy. It involves building dashboards and reporting on campaign impact and organizational performance. The role requires experience in communications or marketing data and insights, with a strong analytical background and proficiency in various analytics and social listening tools. | — | 0 |
| Software Engineer III, GTI Software Engineer III, GTI at Google in Málaga, Spain. This role focuses on developing and maintaining a global platform for threat intelligence, enabling users to detect and analyze cyber threats like malware and phishing. The engineer will design, develop, and implement new features, process and analyze threat intelligence data, and optimize platform performance. | — | 0 |
| Software Engineer Manager II, Migrations Manage a team of software engineers, provide technical leadership, set team priorities, develop roadmaps, and contribute to product strategy for large-scale infrastructure projects, potentially within AI/ML domains. | — | 0 |
| Staff Software Engineer, GCP CSM Staff Software Engineer for Google Cloud's Service Mesh Platform team, focusing on building and scaling infrastructure for microservices across various platforms. The role involves driving technical direction, designing systems, writing code, and creating reliable customer experiences for GKE platforms. Requires extensive experience in software development, large-scale infrastructure, distributed systems, and technical leadership, with a focus on cloud compute technologies and networking. | — | 0 |