Currently tracking 498 active AI roles, down 12% versus the prior 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 |
|---|---|---|
| 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 |
| 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, 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 |
| 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, 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 |
| 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 |
| 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, 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 |
| Software Engineer III, Discovery and Assessment Software Engineer III at Google Cloud, responsible for developing, testing, deploying, and maintaining software solutions. The role involves managing project priorities, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Focus is on building and enhancing software for Google's cloud offerings. | — | 0 |
| Senior Software Engineer, Infrastructure, Google Cloud Google is seeking a Senior Software Engineer for its Google Cloud division. This role involves developing and enhancing software solutions for large-scale infrastructure, distributed systems, and networks. The engineer will write and test code, participate in design reviews, review code from peers, contribute to documentation, and triage/debug system issues. The position requires a Bachelor's degree or equivalent experience, with 5 years of programming experience in languages like C++, Java, Go, or Python, and significant experience in infrastructure development and software design/architecture. | — | 0 |
| Software Engineer II, Full Stack, Google Cloud Software Engineer II, Full Stack role at Google Cloud, focusing on developing and maintaining product or system code, participating in design reviews, code reviews, contributing to documentation, and debugging issues. Requires 1 year of experience in software development, full stack development, and data structures/algorithms. Preferred qualifications include experience with web technologies and specific programming languages. | — | 0 |
| Senior Ads Solutions Engineer, gTech This role focuses on engineering solutions for Google Ads, building and scaling platforms to support customer growth and enhance ad experiences. It involves collecting requirements, designing and building reusable solutions, adapting existing ones for global scale, and managing the full solution lifecycle. The role requires strong technical skills in client-side web technologies and programming languages, with experience in cloud and machine learning being preferred. | — | 0 |
| Software Engineer III, Full Stack, Chrome Web Store Software Engineer III role at Google, focusing on the Chrome Web Store. Responsibilities include writing product/system development code, leading design reviews, reviewing code, contributing to documentation, and triaging/debugging issues. Requires experience in full-stack development, programming languages, data structures, and algorithms. The role involves ensuring reliability, compliance, and a seamless experience for users and developers, addressing areas like global compliance and enterprise features within the Chrome ecosystem. | — | 0 |
| Software Engineer III, Networking, Kubernetes Software Engineer III role focused on networking features within Kubernetes and Google Kubernetes Engine. Responsibilities include designing and implementing new networking features, developing network virtualization solutions for containers, assisting customers with production issues, and engaging with the open-source community. Requires experience in software development, large-scale infrastructure, distributed systems, or networks. | — | 0 |
| Software Engineer III, Borg Control Primitives Software Engineer III role focused on developing and enhancing software components for efficient workload scheduling and performance optimization within Google's data centers. The role involves designing large-scale systems, developing tools for load measurement and fine-tuning, and collaborating with partners across Alphabet. This is a core infrastructure engineering role, not directly AI/ML model development. | — | 0 |
| Staff Software Engineer, AppHub Google Cloud is seeking a Staff Software Engineer for the AppHub team to deliver an AI-powered application-centric view of GCP Infrastructure. This role will optimize developer and operator productivity by streamlining application development, deployment, and DevOps, while abstracting cloud infrastructure. The engineer will own the entire AppHub surface for manageability, observability, and governance. | — | 0 |
| Engineering Manager, AI and Compute, Sole Tenancy This role is for an Engineering Manager at Google, leading a team focused on AI and Compute infrastructure for Google Cloud's Sole Tenancy offering. The manager will shape product roadmaps, guide engineering teams, and partner with other departments to deliver large-scale, intelligent host management services for enterprise clients migrating to the cloud. The role involves technical leadership, people management, and overseeing project delivery within a high-growth, strategic area of Google Cloud. | — | 0 |
| Staff Software Engineer, GKE Networking Staff Software Engineer role focused on Google Kubernetes Engine (GKE) networking, involving architectural planning, design, development, and support of networking solutions for containerized workloads. The role requires extensive experience in software development, distributed systems, network infrastructure, and Kubernetes. | — | 0 |
| Software Engineering Manager II, Chrome Agentics and Infrastructure Software Engineering Manager II for Chrome Agentics and Infrastructure, responsible for technical leadership, team management, and driving the technical roadmap for ChromeOS. The role focuses on managing engineers, optimizing code, defining project goals, and contributing to product strategy within a large-scale system design context. | — | 0 |
| Software Engineer III, Compute infrastructure, Control Simulations Software Engineer III at Google, focusing on Compute infrastructure Control Simulations. This role involves enhancing scheduling algorithms using simulation frameworks, optimizing resource utilization, and reducing operational toil. Requires experience in C++, multithreaded programming, performance analysis, and simulation. | — | 0 |
| Software Engineer III, Infrastructure, Cloud Software Engineer III, Infrastructure, Cloud at Google, focusing on evolving the Cloud Domain Name System product to be the default for Google Kubernetes Engine and adapting Cloud features for AI requirements. The role involves building new features, leading design and implementation in Go/C++/Java, growing infrastructure, and collaborating cross-functionally for production launches. Requires experience with large-scale infrastructure, distributed systems, or networks. | — | 0 |
| Senior Software Engineer, Infrastructure Cluster Management Senior Software Engineer role focused on Google's Cluster Management System (Borglet), involving development, testing, design reviews, code reviews, documentation, and issue triaging for large-scale infrastructure, distributed systems, and hardware architecture. | — | 0 |
| Security Technical Lead, Cluster Management This role is for a Security Technical Lead in Cluster Management at Google Cloud. The individual will develop next-generation technologies, work on critical projects, and lead design and build processes for infrastructure to measure and detect performance regressions. The role requires strong coding skills in C++, experience with Linux, and knowledge of cluster management, system architecture, virtualization, and security. | — | 0 |
| Senior Software Engineer, Performance Infrastructure Google is seeking a Senior Software Engineer to work on performance infrastructure for their platforms and devices team. This role involves writing and testing code, participating in design reviews, reviewing code from other developers, contributing to documentation, and triaging/debugging product or system issues. The ideal candidate will have experience with full-stack development, building infrastructures, frameworks, and tools, and a strong background in software development languages and practices. | — | 0 |
| Mobile Technical Lead, RCS For Business Technical Lead for RCS For Business within the Google Messages application, focusing on end-to-end development, user journeys, bug fixing, and cross-functional collaboration. Requires strong Android and Kotlin development experience, with preferred qualifications in technical leadership and algorithms. | — | 0 |
| Technical Lead, Messages, Android Wear Software Engineer role on the Google Messages team for Android Wear, focusing on building and optimizing features for wearable devices. Responsibilities include full-stack development, collaboration with product managers and designers, and influencing platform API design. Requires experience in Android development, Kotlin/Java, and large-scale application design. | — | 0 |
| Senior Software Engineer, Cloud Conduit Software Engineer role focused on developing and deploying secure, efficient, and reliable networking solutions for Google Cloud, handling both AI-driven and general-purpose traffic. The role involves working across organizational boundaries, focusing on maintainability and reliability of large-scale distributed systems. | — | 0 |
| Senior Software Engineer, App Hub This role is for a Senior Software Engineer on the Google Cloud Platform (GCP) App Hub team. The team's goal is to deliver an AI-driven, application-focused perspective of GCP infrastructure by abstracting infrastructure primitives to improve developer and operator productivity. The role involves architecting and implementing scalable systems, managing project lifecycles, transforming business requirements into technical solutions, driving engineering speed, and mentoring engineers. While the role mentions AI-powered cloud and an AI-driven perspective, the core responsibilities focus on infrastructure, system design, and development operations rather than direct AI/ML model development or research. | — | 0 |
| Senior Software Engineer, Chrome Web Store Platform This role is for a Senior Software Engineer on the Chrome Web Store Platform & Storefront team at Google. The primary focus is on ensuring the operational integrity, product excellence, regulatory compliance, and enterprise reliability of the Chrome Web Store. Responsibilities include designing, developing, testing, deploying, maintaining, and improving software for the platform, leading technical design, scoping complex problems, and collaborating with cross-functional teams. While AI/ML is mentioned as a general area of interest at Google, this specific role is not centered around AI/ML development but rather on the robust infrastructure of a mature platform. | — | 0 |
| Software Engineer III, Chrome Web Store Software Engineer III for the Chrome Web Store Platform and Storefront team, focusing on operational integrity, product excellence, regulatory compliance, and enterprise reliability. The role involves developing product or system code, leading design reviews, reviewing code, contributing to documentation, and triaging/debugging issues. Requires experience in full-stack development and programming languages like Java, Python, Golang, C++, JavaScript, or TypeScript. | — | 0 |
| Staff Software Engineer, Pixel Graphics Staff Software Engineer for Google Pixel's GPU driver team, focusing on kernel and user-space graphics drivers. Responsibilities include feature development, performance improvements, silicon bring-up, debugging, and defining future software/hardware requirements for Pixel products. The role involves technical leadership, influencing, coaching, and managing engineers, as well as facilitating cross-team alignment. Requires experience with GPU drivers, embedded programming in C, and mobile GPUs. | — | 0 |
| Senior Full Stack Engineer, Cloud Composer and Dataform Google Cloud is seeking a Senior Full Stack Engineer to work on Cloud Composer and Dataform, services focused on data processing, workflow orchestration, and data pipelines. The role involves designing and implementing new UI elements, configuration capabilities, and partnering with backend teams. The position requires 5 years of full-stack engineering experience with JavaScript, TypeScript, or AngularJS. | — | 0 |
| Ads Solutions Engineer This role is for a Solutions Engineer within Google's gTech Ads team, focusing on designing and building technical platforms and automation tools to support customer solutions. The role involves working with cross-functional teams to improve existing platforms and identify areas for enhancement, with a focus on efficiency and compliance with data and legal policies. While experience with machine learning is preferred, the core responsibilities revolve around platform engineering and solutioning for ad products. | — | 0 |