Currently tracking 498 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
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.
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). 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 (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 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 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Staff Software Engineer at Google working on AI/ML for YouTube Recommendations, Rankings, and Predictions. The role involves designing, developing, and deploying large-scale software solutions, providing technical leadership, and optimizing ML infrastructure. Key responsibilities include leading the design and implementation of recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires significant experience in building and deploying recommendation systems models in production and leading ML design and optimization. | ShipAgent | 7 |
| Design Verification Engineer, PhD, Early Career This role focuses on the design and verification of AI/ML hardware accelerators (TPUs), involving architecture definition, performance modeling, RTL design, and hardware/software co-design. The engineer will work on optimizing ML workloads and developing efficient design verification strategies for next-generation TPUs, leveraging AI techniques for physical design convergence. |
| Serve |
| 7 |
| Software Engineering Manager II, AI/ML Recommendations, Rankings, Predictions, YouTube Software Engineering Manager II for AI/ML Recommendations, Rankings, and Predictions at YouTube. This role involves leading a team of engineers, setting team priorities, developing technical roadmaps, designing and implementing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires experience in software development, ML design, ML infrastructure optimization, building and deploying recommendation systems, and technical/people leadership. | ShipServe | 7 |
| Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Senior Software Engineer focused on building and deploying recommendation systems models for YouTube, leveraging ML infrastructure and contributing to architecture design. This role involves coding, testing, debugging, and designing models for retrieval, prediction, ranking, and personalization. | ShipData | 7 |
| Software Engineering Manager II, Google Cloud Software Engineering Manager II for Google Cloud's AI and Infrastructure team, focusing on delivering AI and Infrastructure at scale. The role involves technical leadership, team management, setting priorities, developing roadmaps, and guiding system designs, with a focus on enabling advanced AI models and delivering computing power. | Serve | 7 |
| Software Engineer, PhD, Early Career, Campus, 2025 Start Software Engineer with a PhD, focusing on AI/ML infrastructure and systems within Google Cloud. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, triaging and debugging complex technical issues, and collaborating on design, analysis, and development across the stack. The focus is on building and scaling AI/ML capabilities on Google's frameworks and infrastructure, contributing to products used by billions. | Serve | 7 |
| Software Engineer, Early Careers, PhD, Cloud AI Software Engineer role focused on implementing and designing Search features, leveraging advanced GenAI capabilities and LLM concepts, with a focus on Kubernetes-based infrastructure for scalability and performance. | Serve | 7 |
| Senior Software Engineer, Payments Data Platform This role focuses on building and evolving the core data infrastructure and tooling for Google's Payments Data Platform (GDP). The platform supports advanced analytics, AI personalization, and agentic experiences, aiming to unlock the potential of Payments data for reliable, compliant, and scalable data infrastructure. The engineer will design and implement data pipelines, own technical areas, and drive technical strategy for data management. | Data | 5 |
| Senior Strategist, Scams and Verification Trust and Safety Senior Strategist role focused on protecting users from offline scams by using data, applied AI, and machine learning to optimize human review, identify enforcement gaps, and develop automation opportunities. The role involves collaborating with engineers to develop algorithms and solve quality issues end-to-end, with a focus on driving projects that increase user safety and provide a better online experience through Google Ads. | Agent | 5 |
| Ads Solutions Engineering Manager, gTech Lead a team of Customer and Partner Solutions Engineers to develop and scale advertising solutions for customers, focusing on technical implementation, optimization, and engineering solutions. Provide thought leadership and develop new AI solution offerings, driving automation and integration with AI for complex workflows. | — | 5 |
| Android Application Engineer, Google Fi This role is for an Android Application Engineer at Google Fi Wireless. The engineer will be responsible for architecting core features, enhancing functionality for millions of users, and leading junior engineers. While the team applies Google's AI to solve problems and offers opportunities to build applied AI skillsets, the core responsibilities of this role are focused on Android application development, telephony expertise, and optimizing release management, rather than directly building or researching AI models. | — | 5 |
| Graphics/Machine Learning Hardware IP Silicon Architect This role focuses on architecting and integrating custom silicon solutions for Google's consumer products, specifically targeting hardware IP for Graphics, Multimedia, and Machine Learning acceleration. The individual will collaborate with software and hardware teams to define and deliver ASIC IP architectures that meet power, performance, and area targets, from initial design through to product launch. Experience with low-power ASIC hardware IP for complex SoCs, particularly in Graphics Processing and Machine Learning Acceleration, is preferred. | Serve | 5 |
| Software Engineer II, External API Security Software Engineer II focused on External API Security at Google, developing and improving AI-assisted vulnerability scanning systems and automated checkers. The role involves collaborating with core infrastructure and product teams to establish secure-by-default API deployment architectures and reduce risk, as well as developing infrastructure for security policy enforcement and monitoring. Experience with agent-based AI systems is preferred. | Agent | 5 |
| Software Engineer II, Infrastructure Software Engineer II, Infrastructure role focused on building and maintaining Kueue, a Kubernetes scheduler for AI/ML workloads, managing accelerators like TPUs and GPUs. The role involves algorithm design, system performance, and Kubernetes internals, collaborating with internal and external AI partners and the open-source community. | Serve | 5 |
| Senior Research Data Scientist, Ads Insights and Measurement This role focuses on applying quantitative methods, including machine learning and causal inference, to analyze and improve Google's advertising products. The primary goal is to understand advertising effectiveness, user behavior, and campaign performance at scale, translating data-driven insights into deployed products. | — | 5 |
| Software Engineer III, Looker Developer Infrastructure and Tooling The role focuses on building and maintaining infrastructure, CI/CD pipelines, and tooling for the Looker engineering organization, with a specific emphasis on transitioning to Agentic Development. This involves inventing next-generation Dev AI capabilities, embedding code assistants, and agentic debugging frameworks into developer environments and pipelines. | Agent | 5 |
| Platform Technical Leader, Statera This role is for a Platform Technical Leader focused on load balancing infrastructure for AI workloads, connecting AI models and agents. The responsibilities include driving data plane performance, optimizing scalability, advocating for GKE, expanding network protocols (IPv6, HTTP/3), and strengthening DoS protection. The role requires significant experience in C++, software development, large-scale infrastructure, and distributed systems, with a focus on technical leadership. | Serve | 5 |
| Practice Customer Engineer, Data and Analytics, Google Cloud Customer Engineer for Google Cloud's Data and Analytics practice, focusing on large enterprise accounts. The role involves partnering with technical business teams to showcase Google Cloud's data analytics and intelligent systems capabilities, designing cloud architectures, and leading proofs-of-concept. Responsibilities include troubleshooting data lifecycle issues, ensuring ML-ready infrastructure, and driving product adoption. The role requires strong technical, communication, and organizational skills, with a focus on differentiating Google Cloud from competitors. | — | 5 |
| Staff Software Engineer, Accelerator Platform Software Staff Software Engineer on the Accelerator Platforms and Laboratory Team at Google Cloud, focusing on foundational hardware and low-level software for accelerator-to-host connectivity. The role involves onboarding co-accelerators, designing and implementing system software (firmware, kernel drivers), developing tests and telemetry, debugging complex system-level challenges, and providing technical leadership. The team is part of the AI and Infrastructure group, supporting AI model development and computing power for Google's services. | — | 5 |
| Senior AI Adoption Customer Engineer, Google Cloud Senior AI Adoption Customer Engineer for Google Cloud Platform, focusing on driving the adoption of enterprise AI products with strategic customers. This role involves technical leadership, deployment planning, and consultative delivery of AI solutions, including multi-agent workflows and RAG systems. | Agent | 5 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, including multi-agent workflows and RAG systems. Responsibilities include technical leadership, deployment planning, and accelerating customer time-to-value by resolving technical blockers and identifying new use cases. | Agent | 5 |
| Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure This role is for a Software Engineer III on the Google Cloud Compute Infrastructure team. The role involves developing and maintaining the infrastructure that powers Google's services, including those related to AI. While the team works closely with AI development, the core responsibilities focus on the underlying compute infrastructure, not direct AI model development or deployment. | — | 5 |
| Software Engineer II, AI/ML, Google Security Operations This role is for a Software Engineer II on the AI/ML team within Google Security Operations. The engineer will focus on bridging gaps in Google's security tooling and implementing managed defense features within SOAR case management. Responsibilities include writing product/system development code, collaborating with peers, triaging and debugging issues, applying foundational ML concepts, and designing/developing high-quality code for security products and systems. The role requires experience with software development, data structures, algorithms, core ML concepts, and full-stack development. | Ship | 5 |
| Business Intelligence Analyst, Payments Risk Management This role focuses on business intelligence and data analytics within Payments Risk Management, aiming to enhance risk assessment and monitoring programs by leveraging AI models. The analyst will collect, analyze, and interpret large datasets, develop metrics and dashboards, ensure data integrity, and present insights. While the role uses AI tools and has some AI-related qualifications, its core function is data analysis and business intelligence, not direct AI/ML model development. | — | 5 |
| Integrated Circuit Package Design Engineer Develops physical package substrate designs for Machine Learning (ML) chips, collaborating with cross-functional teams to optimize designs for performance, efficiency, and manufacturability. Manages the design process from feasibility to tape-out, incorporating advanced packaging technologies into the product pipeline. | — | 5 |
| Silicon Design Verification Lead, Google Cloud Lead Silicon Design Verification for Google Cloud's custom hardware, focusing on AI/ML workloads on TPUs. Responsibilities include full verification life-cycle management, team leadership, and ensuring reliability for AI/ML applications. | — | 5 |
| Staff Software Engineer, Security/Privacy Staff Software Engineer, Security/Privacy role focused on overseeing platform security architecture in the AI era, guiding its evolution, and leading IDP Agentic Security initiatives. The role involves coordinating with engineering and security teams, mentoring engineers, and establishing operational frameworks. It requires deep understanding of internal infrastructure and a focus on protecting against risks from autonomous AI. | — | 5 |
| Model UX Designer This role is for an Interaction Designer focused on AI initiatives within Google's Ads Privacy and Safety UX team. The designer will translate complex AI concepts like foundational models and agentic workflows into intuitive user interfaces and experiences for Google developers. They will use AI tools and prompt engineering in their daily workflow to accelerate prototyping and discover new ways of working, focusing on crafting user journeys, wireframes, and interactive prototypes for novel AI interactions such as chat interfaces and autonomous agent hand-offs. Collaboration with Engineers, Product Managers, and Research Scientists is key. | Agent | 5 |
| Senior UX Engineer, Ads Privacy and Safety This role is for a Senior UX Engineer on an AI-forward team focused on Ads Privacy and Safety. The engineer will bridge design and AI capabilities, prototyping and developing AI-driven interfaces and architecting frameworks to translate ML models into user-friendly tools. The role emphasizes user-centric design and aims to redefine workflows with AI. | — | 5 |
| Senior Staff Software Engineer, Search Ads, Quality, Backend Senior Staff Software Engineer for Google's Search Ads Quality Backend team, focusing on local search ads. The role involves technical leadership, designing, developing, and enhancing large-scale software solutions at the intersection of data, information retrieval, ML, and infrastructure to improve user experience and drive business growth. | — | 5 |
| Senior Compliance Analyst, Public Sector This role is for a Senior Compliance Analyst in Google Public Sector, focusing on modernizing compliance operations by integrating generative AI to automate risk management workflows. The role involves leading cross-functional initiatives, building security architecture governance frameworks, and influencing global stakeholders to ensure compliance drives business growth. It requires experience with government compliance frameworks and leveraging AI tools for automation. | — | 5 |
| Customer Engineering Manager, Data Analytics, Google Cloud This role is for a Customer Engineering Manager for Data Analytics at Google Cloud, focusing on accelerating customer success by providing technical expertise and leading a team of subject matter experts. The role involves modernizing data architectures for AI readiness, leading the data-for-AI technical community, influencing product roadmaps, and leading technical engagements with strategic customers. While the role focuses on enabling customers with AI, the core responsibility is customer engineering and management, not direct AI/ML model development or research. | — | 5 |
| Engineering Manager, Egregious Abuse Protection This Engineering Manager role focuses on leading a team to protect users and the platform against Violent Extremism (VE) and Non-Consensual Intimate Imagery (NCII). The role involves managing software engineers, shaping technical roadmaps, and integrating generative AI tools or LLM interfaces into workflows for abuse detection and mitigation. The team builds foundational technical systems for Google's products, emphasizing robust, privacy-sensitive, and scalable distributed systems. | Ship | 5 |
| Manager, Ads Solution Engineering Manager for Ads Solution Engineering team at Google, focusing on leading engineers to develop and scale technical solutions for advertisers using Google Ads. The role involves driving AI and automation initiatives, collaborating with cross-functional teams, and delivering strategic goals to unlock growth for the Google Ads Business. | — | 5 |
| Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure. This role is part of the AI and Infrastructure team, which empowers Google customers with AI and Infrastructure at scale. The team is responsible for Google's groundbreaking innovations, delivering computing power to global services, and providing platforms for developers. The role involves writing and testing product or 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++, Go, or Python, and 2 years of experience in large-scale infrastructure, distributed systems, networks, or compute technologies. Preferred qualifications include a Master's/PhD, experience with performance analysis, and machine learning infrastructure. | — | 5 |
| Staff Software Engineer, Health Data Foundations and Analytics Staff Software Engineer on the Health Data Foundations and Analytics team at Google, focusing on organizing and transforming health and fitness data to support AI innovation. The role involves technical leadership, software development, and integrating generative AI tools and LLMs into workflows. This position is crucial for high-impact projects within Google Health, aiming to improve personal health outcomes globally. | Data | 5 |
| Enforcement Detection Analyst, YouTube, Trust and Safety This role focuses on developing and implementing strategies to enforce YouTube policies at scale, leveraging Machine Learning and Large Language Models (LLMs) for abuse detection and mitigation. The analyst will collaborate with cross-functional teams, provide incident response, and design prompts for LLMs to improve content classification. | Agent | 5 |
| Data Engineer, Global Affairs Data Engineer role focused on building and scaling data products for a Global Affairs organization, leveraging Google's AI/ML ecosystem to enable data-driven and AI-driven business decisions. Responsibilities include architecting data pipelines, managing ETL, and supporting data infrastructure. | — | 5 |
| Physical Design Lead, Google Cloud This role focuses on the physical design of ASICs for machine learning accelerators in data centers, contributing to the hardware that powers Google's AI and cloud infrastructure. The role involves managing complex SoC designs from conception to tape-out, collaborating with various engineering teams to ensure optimal performance, power, and area. | — | 5 |
| AI Outcome Customer Engineer, Forward Deployed Engineering This role is for an AI Outcome Customer Engineer within Google Cloud's Forward Deployed Engineering team. The primary focus is on bridging the gap between pre-sales and post-sales execution for strategic enterprise accounts, acting as an enterprise architect, technical debugger, and engineering liaison. The role involves shaping solutions for adoption and delivery, leading technical design, debugging complex issues, integrating AI models and agents into customer IT ecosystems, and translating field feedback into product improvements. The goal is to drive customer success and adoption of Google's AI portfolio, including Gemini models and Vertex AI. | — | 5 |
| Software Engineer III, Google Play, Promotion Platform Software Engineer III at Google Play, focusing on the promotion platform and e-commerce experience. Responsibilities include designing and building backend services, optimizing workflows, developing marketing tools, and implementing AI-powered chatbot solutions for customer support. The role involves working with micro-services architecture and collaborating with cross-functional teams. | Agent | 5 |
| Scaled Customer Engineer, SMB, Artificial Intelligence Customer Engineer for Google Cloud Platform, specializing in AI capabilities to drive growth for SMB customers. This role involves preparing and delivering product messaging, providing technical demonstrations, advising customers on AI-driven transformations, and architecting GCP solutions with AI/ML at their core. | — | 5 |
| Customer Engineer, SMB, Artificial Intelligence Customer Engineer for Google Cloud Platform, specializing in AI capabilities to drive growth for SMB customers. This role involves preparing and delivering product messaging, owning technical aspects of solutions, and acting as a strategic technical advisor by architecting GCP solutions with AI/ML at their core. | — | 5 |
| Senior Software Engineer, Full Stack, Stitch Google is seeking a Senior Software Engineer for the Stitch team, an AI tool that generates UI designs and front-end code from natural language and image inputs. The role involves full-stack development, writing and testing code, participating in design reviews, and debugging issues to improve the app creation workflow. | Ship | 5 |
| Staff Site Reliability Engineer, Cloud Reliability Intelligence Staff Site Reliability Engineer for Google Cloud's Reliability Intelligence team, focusing on building an evergreen intelligence platform. The role involves integrating Generative AI and LLM-driven workflows to move from reactive tracking to a predictive system for failure detection and automated risk mitigation. Responsibilities include owning the technical roadmap, designing scalable backend pipelines and UIs, and prototyping/productionizing LLM features for incident data parsing and reliability fixes. | Agent | 5 |
| Security Engineer, Information Security Engineering Product AI Research and Security This role focuses on ensuring the security of Google's AI products and features by identifying and mitigating vulnerabilities throughout the product lifecycle. It involves analyzing AI products, conducting threat modeling, and researching new security threats within AI technologies, while also leveraging AI tools for daily tasks. | — | 5 |
| Staff Software Engineer, Git Development Suite Google is seeking a Staff Software Engineer for the Git Development Suite team, focused on enhancing the Git ecosystem for Google's developers. The role involves providing technical leadership, architecting scalable features for Git-based supply chain infrastructure, and influencing engineering teams. A key aspect is integrating generative AI tools or LLM interfaces into developer workflows, aiming to improve the overall developer experience within Google's large-scale environment. | — | 5 |
| Partner Solution Architect, Regional System Integrators Partner Solution Architect for Google Cloud, focusing on AI, data, or infrastructure solutions for regional systems integrators. The role involves pre-sales architectural support, driving bootcamps, hackathons, and technical sessions to enable partners and accelerate business cycles. The goal is to ensure high-quality, on-time delivery of solutions and secure partner ROI, while deflecting post-sales delivery. | — | 5 |
| Partner Solution Architect, Regional System Integrators Partner Solution Architect for Google Cloud Platform, focusing on AI, data, and infrastructure solutions for regional systems integrators. This role involves pre-sales architectural support, driving partner technical capabilities, and contributing to joint business plans. The primary focus is on enabling partners to deliver solutions to customers, rather than direct AI model development. | — | 5 |
| Software Engineer, External API Security This role focuses on securing Google's external API boundaries by developing AI-assisted security scanning systems, driving remediation campaigns, and collaborating with product teams to establish secure-by-default architectures. The engineer will build and maintain infrastructure for security policy enforcement and analyze authorization bypass patterns, potentially evaluating agent-based AI systems. | Agent | 5 |
