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 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
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 |
|---|---|---|
| Forward Deployed Engineer II, GCC Forward Deployed Engineer II, GCC role focused on embedding with customers to build, deploy, and productionize bespoke agentic AI solutions using Google Cloud's AI portfolio. Responsibilities include architecting integrations, developing agentic workflows, building evaluation and observability pipelines, and providing feedback to product teams. Requires experience in software development, ML, NLP, generative AI agents, and DevOps, with preferred experience in multi-agent systems and LLM optimization. | AgentEval Gate | 9 |
| Senior Machine Learning Engineer, GenAI, Google Cloud Senior Machine Learning Engineer focused on building and optimizing generative AI solutions for Google Cloud customers. This role involves working across the full stack of AI, from models and APIs to agent building blocks and specialized applications, with a strong emphasis on production environments and technical leadership. |
| AgentServe |
| 9 |
| Senior Software Engineering Manager, Emergent AI Infrastructure Senior Software Engineering Manager for Emergent AI Infrastructure, leading teams to build next-generation on-prem AI infrastructure for frontier models and AI solutions. Role involves technical leadership, team management, strategic guidance, and cross-functional collaboration across global sites to deliver high-impact AI infrastructure products. | Serve | 9 |
| Software Engineer lll, AI Developer Tools Platform Software Engineer III on the AI Developer Tools Platform team, focusing on integrating Generative AI and LLMs for Cloud customers. Responsibilities include designing and implementing the platform, collaborating with researchers and product managers, and managing project priorities. Requires experience with ML infrastructure and software development. | ServeAgent | 8 |
| Software Engineer III, Vertex Inference Software Engineer III for Google Cloud's Vertex Inference team, focusing on the dataplane for serving first-party models like Gemini. The role involves implementing GenAI solutions, utilizing ML infrastructure, and optimizing performance for AI/ML capabilities within Google Cloud. | ServePost-train | 8 |
| Software Engineer III, AI/ML Cloud Software Engineer III, AI/ML Cloud role at Google, focusing on building and deploying scalable AI/ML platform capabilities for Google Cloud customers. The role involves engineering solutions for LLM serving and tuning, ensuring reliability, performance, and quality, and implementing guardrails and safety gates for the Vertex AI organization. It requires experience in ML infrastructure, model deployment, and potentially speech/audio or reinforcement learning. | ServeEval Gate | 8 |
| Software Engineer, GKE, PhD, Early Careers Google Cloud is seeking a Software Engineer to work on workload orchestration, specifically implementing a Cognitive Architecture where AI agents act as 'Principal Engineers' to write, validate, and deploy deterministic orchestration code. This role focuses on optimizing infrastructure for GenAI inference and improving resource utilization using AI. | AgentServe | 8 |
| Software Engineering Manager, Android Automotive AI/ML Software Engineering Manager for Android Automotive AI/ML, responsible for leading teams, setting technical direction, and shipping on-device ML products in the automotive domain. Focuses on integrating Google's AI technologies into vehicles. | Ship | 7 |
| Software Engineer II, Google Cloud Platform, Infrastructure Software Engineer II for Google Cloud Platform, focusing on the Kueue project, a CNCF open-source scheduler for AI workloads on Kubernetes. The role involves designing and building sophisticated scheduling solutions for accelerators (TPUs, GPUs) and large-scale CPU workloads, with a focus on algorithm design, system performance, and Kubernetes internals. The team also pioneers the use of Agentic AI for code development and issue diagnosis. | Serve | 7 |
| Senior Software Engineering Manager, Flume ML Senior Software Engineering Manager for Google Cloud's Flume ML team, focusing on leading a team to enhance a data processing infrastructure product. The role involves advancing scheduleability and auto-tuning capabilities for ML pipelines and standard data workloads, bridging infrastructure and products, and collaborating with teams on autonomous driving and frontier AI. | Serve | 7 |
| Engineering Manager, Hybrid and On-prem AI Infrastructure Engineering Manager for Hybrid and On-prem AI Infrastructure, focusing on building a novel on-premises AI supercomputer. The role involves technical leadership, team management, defining architecture and roadmaps, and collaborating with product and GTM leaders to deliver AI hardware and software solutions for customers with specific security and locality needs. | Serve | 7 |
| Staff Software Engineer, Vector Search, Vertex AI Staff Software Engineer role focused on Vector Search Serving infrastructure within Google Cloud's Vertex AI platform, supporting enterprise AI initiatives and Gemini models. Requires extensive experience in software development, distributed systems, and infrastructure, with a preference for GenAI techniques. | ServeAgent | 7 |
| Staff Full Stack Software Engineer, GKE Agentic Experience Staff Full Stack Software Engineer on the GKE Agentic Experience team, responsible for leading the design, development, and deployment of full-stack applications and services that leverage large language models and agentic systems to simplify cluster management, enhance feature discovery, and automate complex tasks within the Google Kubernetes Engine (GKE) ecosystem. The role involves contributing to technical strategy, mentoring engineers, and collaborating across teams. | Agent | 7 |
| Senior Software Engineer, AI/ML Infrastructure Senior Software Engineer focused on optimizing AI/ML infrastructure performance across the technical stack, from networking and data storage to ML models, to provide AI developers with a high-performance experience on Google's AI infrastructure. Responsibilities include designing and implementing solutions, optimizing performance, profiling, debugging, and developing tools for AI/ML infrastructure. | ServeData | 7 |
| Senior Software Engineering Manager, Flume ML Senior Software Engineering Manager for Google Cloud's Flume ML team, focusing on leading a team to enhance a data processing infrastructure product. The role involves advancing scheduleability and auto-tuning capabilities critical for ML pipelines and standard data workloads, bridging infrastructure and product needs, and potentially leading research into AI-driven optimization strategies. | ServeData | 7 |
| Software Engineer II, Cloud AI/ML Software Engineer II role at Google Cloud focusing on AI/ML, involving product/system development, ML concept implementation, and deployment on cloud infrastructure. Requires experience with core ML concepts and software development. | Serve | 7 |
| Software Engineer II, AI/ML Software Engineer II, AI/ML at Google Cloud, focusing on developing and deploying AI/ML solutions for enterprise needs, including AI safety and cloud infrastructure integration. | Serve | 7 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer role focused on building the Gemini Enterprise mobile application for iOS and Android. This role involves integrating Gemini's reasoning and enterprise data to create a platform for enterprise search, assistants, and agents, enabling users to interact with internal systems, summarize information, generate content, and take actions. The focus is on horizontal use cases spanning multiple industries and building reusable components for enterprise customers. | Agent | 7 |
| Software Engineering Manager II, Health Data Foundation Software Engineering Manager II for Google's Health Data Foundation team, focusing on organizing and transforming health and fitness data using AI for Fitbit. The role involves leading a team, architecting technical solutions, and driving cross-functional collaboration to build impactful AI-driven projects. | Data | 7 |
| Engineering Manager, Hybrid and On-prem AI Infrastructure Engineering Manager for Hybrid and On-prem AI Infrastructure, focusing on building a novel on-premises AI supercomputer using Google's AI accelerators hardware and the critical software that supports it. The role involves technical leadership, team management, strategic direction, and collaboration with product and GTM teams to deliver solutions for customers with sophisticated security and locality requirements. | Serve | 7 |
| Senior Software Engineer, AI Agent Ecosystem, ADK Senior Software Engineer to drive technical strategy and architecture for an open-source AI Agent ecosystem, including the Agent Development Kit (ADK). Focus on building foundational libraries, SDKs, and developer tools to simplify the creation, deployment, and management of production-grade AI agents, enhancing developer velocity, reliability, and scale. | Agent | 7 |
| Staff Software Engineer, Vector Search, Vertex AI Staff Software Engineer role focused on Vector Search Serving infrastructure for Google Cloud's Vertex AI platform, requiring experience with large-scale distributed systems and GenAI concepts. | ServeAgent | 7 |
| Software Engineer III, Full Stack, AI Development Tools Software Engineer III role focused on developing GenAI and Vertex-based development tools, including server and middleware code that interacts with LLMs. The role involves integrating next-generation LLMs with a focus on performance and deployment constraints, working closely with AI researchers and product managers. | Serve | 7 |
| Senior Software Engineer, Vertex AI, Workbench Senior Software Engineer role focused on building foundational infrastructure for Generative AI agents within Vertex AI Notebooks, a key platform for enterprise AI. | AgentServe | 7 |
| Software Engineer III, Google Cloud Platforms, Gemini Develop and enhance software solutions for a conversational AI tool that enables users to collaborate with generative AI, augmenting imagination, curiosity, and productivity. The role involves full-stack development on cloud infrastructure, with a focus on shipping AI-powered products. | Ship | 7 |
| Software Engineer III, Backend Software Engineer III, Backend role at Google, focused on building a next-generation platform for security mechanisms that will enable AI agents to operate in production. The role involves implementing features, writing and testing code, debugging issues, and partnering with other engineers and stakeholders. | Agent | 7 |
| Technical Lead, Vector Search, Vertex AI Technical Lead for Vector Search Serving infrastructure within Google Cloud's Vertex AI platform, focusing on managing massive datasets and query volumes with low latency. The role involves technical leadership, architecture, code reviews, and mentoring engineers, with a requirement for experience in GenAI techniques. | ServeAgent | 7 |
| Senior Software Engineering Manager, Flume ML Seeking an Engineering Manager with an infrastructure technical background to lead a team focused on optimizing planet-scale data processing infrastructure. This platform powers foundational AI/ML features and next-generation AI initiatives, with a focus on advancing scheduleability and auto-tuning for ML pipelines and standard data workloads. The role involves leading research into AI-driven optimization strategies and collaborating with teams working on frontier AI models. | Serve | 7 |
| Senior Research Data Scientist, Android Tablets Senior Research Data Scientist role focused on driving AI product success for Android Tablets by owning the end-to-end data science lifecycle, developing inference algorithms, and estimating user lift using ML/statistical approaches and causal inference. | Ship | 7 |
| Senior Software Engineer, AI/ML Infrastructure Senior Software Engineer focused on optimizing AI/ML infrastructure performance across the technical stack, from networking and data storage to ML models, to provide AI developers with a high-performance experience on Google's AI infrastructure. Responsibilities include designing and implementing solutions, optimizing performance, profiling, debugging, and developing tools for AI/ML infrastructure. | ServeData | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Ads Solutions Engineer, gTech This role focuses on building and scaling technical solutions for Google's advertising clients, leveraging emerging technologies and engineering skills to automate workflows, adapt existing solutions, and drive customer growth. The role involves a technical relationship with clients, cross-functional collaboration, and owning the solution lifecycle from discovery to maintenance. | Ship | 5 |
| Staff Software Engineer, Home Infrastructure This role is for a Staff Software Engineer on the Health and Home Infrastructure team at Google. The team focuses on building scalable serving and offline infrastructure, developer platforms, and data services for Google Home and Nest products. The role involves managing a team, developing and maintaining high-QPS distributed systems, and ensuring reliability and low-latency performance. While the team uses AI (like Gemini) to enhance product features, the core responsibility of this role is infrastructure engineering, not direct AI/ML model development. | — | 5 |
| Staff Software Engineer, Vertex AI, Workbench Staff Software Engineer role focused on building foundational infrastructure for Gen AI agents within Vertex AI Notebooks on Google Cloud Platform. The role involves technical leadership, driving product initiatives, and designing developer tools, with a strong emphasis on backend infrastructure and distributed systems. | Agent | 5 |
| Senior Software Engineer, Flume ML Senior Software Engineer role focused on advancing the schedulability and autotuning of a planet-scale data processing infrastructure product that powers foundational AI/ML features for Google Cloud. The role involves designing, developing, and maintaining large-scale software solutions, addressing complex technical issues, and working with mission-critical customers to optimize ML pipelines and data processing workloads. | Serve | 5 |
| Senior Software Engineer, Android, Chrome Identity Senior Software Engineer on Chrome Identity team, focusing on Android mobile platforms. Role involves technical leadership, feature development for billions of users, and collaboration with UX/Product Managers. Requires experience with software development, mobile OS, and LLMs/NLP/Generative AI, with an emphasis on utilizing AI tools for development. | — | 5 |
| Senior Software Engineer, Vertex 1P GenAI SRE This role focuses on ensuring the reliability, scalability, and performance of Google's Vertex AI Generative AI platform, which serves both internal teams and Google Cloud customers. The Senior Software Engineer will be responsible for improving system architecture, resolving outages, and driving production excellence using SRE principles. | Serve | 5 |
| Staff Software Engineer, Flume ML This role is for a Staff Software Engineer on the Flume ML team at Google Cloud, focusing on managing and evolving planet-scale data processing infrastructure that powers foundational ML features and next-generation AI initiatives. The primary objective is to advance scheduleability and auto-tuning capabilities for massive-scale ML pipelines and data workloads, bridging complex infrastructure with cutting-edge products. The role involves technical leadership, influencing and coaching engineers, managing projects, and designing/developing large-scale software solutions. | Data | 5 |
| Senior Software Engineer, Gemini Enterprise Mobile Senior Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application (iOS and Android) and its backend systems. The role involves designing mobile architecture, providing technical guidance, and leveraging AI to enhance performance, contributing to the full software development lifecycle. | — | 5 |
| Software Engineer III, AI Infrastructure Software Engineer III, AI Infrastructure at Google Cloud, focusing on building and scaling AI infrastructure. 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 software development, large-scale infrastructure, distributed systems, and Machine Learning or Artificial Intelligence. | Serve | 5 |
| Software Engineer II, Cloud ML/AI Software Engineer II, Cloud ML/AI at Google in Warsaw, Poland. This role involves writing product or system development code, collaborating with peers, contributing to documentation, triaging issues, and applying foundational ML concepts to implement solutions in specialized ML areas. Requires a Bachelor's degree or equivalent experience, 1 year of software development experience, 1 year of data structures/algorithms experience, and 1 year of implementing core ML concepts. Preferred qualifications include experience with accessible technologies, enterprise AI needs (including AI safety, data residency, integration), and cloud infrastructure deployment. | Serve | 5 |
| Staff Software Engineer, Vertex AI, Workbench Staff Software Engineer role focused on building foundational infrastructure for Gen AI agents and enhancing Vertex AI Notebooks within Google Cloud's enterprise AI platform. The role involves technical leadership, driving product initiatives, and designing developer tools for Vertex AI and GCP. | AgentServe | 5 |
| Software Engineer II, Flume Machine Learning Software Engineer II, Flume Machine Learning at Google Poland, focused on advancing data processing infrastructure for ML pipelines and standard workloads. Responsibilities include developing data processing features, using AI tools, working with customers on schedulability, and analyzing performance data. Requires a Bachelor's degree, 1 year of software development experience, and experience with large-scale infrastructure or distributed systems. Preferred experience with ML infrastructure. | Serve | 5 |
| Ads Solutions Engineer, gTech This role focuses on leveraging emerging technologies, including machine learning, to build and scale innovative technical solutions for Google's largest advertising clients and partners. The primary responsibility is to adapt and scale existing solutions, automate workflows, and manage the full lifecycle of these scaled solutions to drive customer growth and enhance ad experiences. | Ship | 5 |
| Software Engineer III, Flume ML Software Engineer III, Flume ML at Google, focused on advancing data processing infrastructure, including schedulability and autotuning. The role involves designing and developing data processing features, utilizing AI tools for development, and working with customers on schedulability tests. Requires experience in software development and large-scale infrastructure. | — | 5 |
| Field Sales Manager III, Startups, CEE, Google Cloud Field Sales Manager for Google Cloud Startups in CEE, focusing on guiding startups in leveraging Google's AI tech stack for scaling their AI-driven products from prototyping to global deployment. The role involves leading a team of Field Sales Representatives, building relationships with founders and investors, and ensuring startups architect their business on Google Cloud AI services. | — | 5 |