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, with 1186 new openings in the last 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 |
|---|---|---|
| Senior Director, Software Engineering, TV Senior Director of Software Engineering for Android TV OS, focusing on leading technical vision, strategy, and execution for the platform. The role involves driving the technical evolution of TV in an AI-first world, integrating Generative AI to reimagine user experiences, and managing key partnerships to expand global adoption. | Ship | 7 |
| Software Engineer, Pixel Test Engineering/AI Application Software Engineer role focused on building and owning cross-device test infrastructure, with a key responsibility in exploring and implementing AI-powered automation to improve software development lifecycle, release cycles, and quality. The role involves writing product/system code, collaborating on design/code reviews, triaging issues, and implementing solutions in ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. |
| 7 |
| Business and Marketing Data Scientist, Applied Machine Learning Data Scientist role focused on building and scaling ML models for sales and marketing within Google Customer Solutions, aiming to increase business growth and operational effectiveness for small and medium-sized businesses. Responsibilities include developing recommendation engines, impact measurement tools, and statistical models, integrating them into production, and analyzing pilot results. | ShipAgent | 7 |
| TPU RTL Design Engineer, Networking, Inter-Chip Interconnects This role focuses on the RTL design of custom silicon (TPUs) for AI/ML hardware acceleration, specifically the inter-chip interconnects. The engineer will design, implement, and verify complex digital designs for next-generation data center accelerators, contributing to the core components that power Google's AI and machine learning workloads. | Serve | 7 |
| Software Engineer III, AI/ML Computer Vision, Pixel Camera Software Engineer III for Google Pixel Camera team, focusing on AI/ML Computer Vision. Responsibilities include writing product code, collaborating with peers, triaging issues, and implementing computer vision solutions using ML infrastructure, model optimization, and data processing. Requires 2 years of Python/C++ experience, 1 year in Computer Vision or video generation, and 1 year with ML infrastructure. | Ship | 7 |
| Senior Software Engineer, AI/ML, Google Cloud Senior Software Engineer on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. The role involves designing and implementing solutions in ML areas, leveraging ML infrastructure, and potentially working with speech/audio or reinforcement learning. | ServePost-train | 7 |
| Software Engineer III, Core ML Performance Software Engineer III on the Core ML Frameworks team at Google, focusing on developing and optimizing high-performance custom kernels for ML operations on TPU and GPU architectures. This role involves building infrastructure for kernel development, performance analysis, and supporting new hardware and ML operations, contributing to Google's ML stack and GCP. | Serve | 7 |
| Power and Performance Architect, TPU This role focuses on designing and optimizing the power architecture for next-generation Tensor Processing Units (TPUs) that accelerate AI/ML workloads. The architect will bridge the gap between high-level concepts and silicon execution, focusing on power management features and performance-per-watt for ML applications, and will collaborate with software and data center teams to align silicon capabilities with system-level power constraints. | Serve | 7 |
| Senior Software Engineer, AI/ML, Google Cloud Platforms Senior Software Engineer role focused on AI/ML within Google Cloud Platforms, involving design and implementation of ML solutions, leveraging ML infrastructure, and expertise in areas like Speech/audio, reinforcement learning, ML infrastructure, model deployment, evaluation, optimization, data processing, and debugging. | Serve | 7 |
| Robotics Hardware Industrialization Engineer, DeepMind The Embodied Systems team within Deepmind Robotics is seeking a Robotics Hardware Industrialization Engineer to bridge the gap between robotics research goals and scalable data collection in a laboratory environment. This role involves transforming advanced research testing concepts into actionable designs and processes for data collection humanoid laboratories, optimizing robot operations, reducing costs, and ensuring system reliability. The engineer will be the first point of contact for test cell design and an authority on process control and DFM/DFX approaches, working with cross-functional teams to define functional hardware and processes for a productive and scalable laboratory environment. | Data | 7 |
| Technical Lead Manager, TorchTPU Technical Lead Manager for TorchTPU at Google, responsible for leading a team of software engineers to develop and optimize frameworks and compilers for Cloud TPUs, enabling large-scale training and inference of ML models, particularly for generative AI and LLMs, in collaboration with customers and open-source communities. | Serve | 7 |
| Senior Software Engineer, AI-Empowered Security, CISO This role focuses on building and scaling AI-powered security platforms for Google Cloud. The engineer will design, optimize, and evaluate AI-driven security capabilities to automate security checks, discover vulnerabilities, and fix issues across the developer pipeline and production systems. The role involves technical leadership, establishing security standards, and analyzing complex security data. | Agent | 7 |
| Senior Software Engineer, Duplex Senior Software Engineer role at Google focused on developing AI-powered consumer products, specifically leveraging speech/audio technology and ML infrastructure. The role involves writing and testing code, collaborating with stakeholders, debugging issues, and designing/implementing ML solutions. Requires experience in software development, speech/audio, reinforcement learning, or ML infrastructure, with a focus on product development and ML infrastructure. | ShipServe | 7 |
| Senior Software Developer, Computer Vision, XR Senior Software Developer role focused on Computer Vision and XR at Google, involving the development and deployment of geometric sensing capabilities for XR products. The role requires experience in C++, Python, Computer Vision, ML infrastructure, and Augmented Reality, with a focus on scaling XR experiences and integrating AI/XR convergence. | ShipAgent | 7 |
| Staff Software Engineer, Play Games Discovery Staff Software Engineer at Google Play focused on building personalized experiences for gamers using AI/ML recommendations. The role involves technical ownership, leadership, and designing/implementing ML solutions, optimizing infrastructure, and guiding model optimization and data processing. Experience in personalization, search quality, ranking, and recommendation systems is required. | Ship | 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, Android Trust Senior Software Engineer on the Android Trust team, focusing on protecting users from abusive apps using ML, generative AI, and agentic AI threat models. Responsibilities include developing analysis platforms, system-level code for app inspection, and leading design reviews for defense strategies against agentic AI threats. The role involves novel research and publishing in security conferences. | Agent | 7 |
| Staff Data Scientist, Discover Personalization and Quality Staff Data Scientist for Google Discover Personalization and Quality team, focusing on improving retrieval and ranking ML systems to deliver personalized content. This role involves analyzing systems, leading research, collaborating with engineering and product teams, and leveraging AI/LLM tools to enhance user experience and product growth. | Ship | 7 |
| Technical Program Manager, Geo Data Technical Program Manager for the Geo team, focused on architecting and building Generative AI solutions for moderation, scalability, and efficiency. The role involves managing the generation of labels for model improvements, serving as a point of contact for global regulatory workflows, and overseeing end-to-end project lifecycles. Experience with LLMs, prompt engineering, and GenAI moderation frameworks is preferred. | DataPost-train | 7 |
| Senior Software Engineer, AI-Empowered Security, Cloud CISO Senior Software Engineer role focused on AI-empowered security for Google Cloud. The role involves architecting and scaling platforms that automate security checks, designing and evaluating AI-driven security capabilities, and leading identification of AI opportunities. It requires experience in security engineering, AI/ML infrastructure, and designing AI-assisted tools, with preferred experience in Generative AI, LLMs, and multi-agent systems. | AgentServe | 7 |
| Staff Software Engineer, YouTube Ads Machine Learning Staff Software Engineer role at Google YouTube Ads focusing on Machine Learning. The role involves designing, developing, and deploying large-scale software solutions, with a strong emphasis on ML infrastructure, model optimization, data processing, and building recommendation systems. Requires technical leadership and experience in ML design and deployment. | ShipServe | 7 |
| Senior Salesforce Architect, Go-to-Market, Google Play This role focuses on architecting and implementing generative AI features, LLM-based applications, and self-supporting agents on the Salesforce platform for Go-to-Market teams. The Senior Salesforce Architect will lead technical solutions, drive business automation, and partner with various teams to define technical strategy. | Agent | 7 |
| Customer Engineer II, Applied AI, Google Cloud Customer Engineer II, Applied AI, Google Cloud role focused on partnering with technical sales teams to understand customer needs, design cloud solutions using Google's first-party Generative AI, and conduct Proofs of Concept. Requires expertise in conversational AI, building/leveraging AI solutions, and engaging with technical stakeholders. | Agent | 7 |
| Security Engineer, Android Product Security Security Engineer for Android Product Security, focusing on building AI/LLM-driven security engineering projects and tooling to scale vulnerability research, defensive engineering, and mitigation strategies. The role involves analyzing and triaging vulnerabilities, conducting security research, and embedding security by design. | Agent | 7 |
| Senior Software Engineer, AI/ML, Google Cloud AI Senior Software Engineer role focused on AI/ML within Google Cloud AI. The role involves writing and testing product/system development code, collaborating with peers, triaging issues, and designing/implementing solutions in specialized ML areas. Requires experience with ML infrastructure, model deployment, evaluation, optimization, data processing, debugging, and potentially speech/audio or reinforcement learning. | ServePost-train | 7 |
| Staff Software Engineer, Search Next Staff Software Engineer at Google, focusing on building transformative developer experiences for Search developers. The role involves working with AI for developers, building scalable platform systems for Search products, and potentially leveraging agentic frameworks and LLMs. Requires strong software development, design, and architecture experience, with a focus on ML infrastructure and deployment. | Ship | 7 |
| Software Engineer, AI-Empowered Security Software Engineer role focused on building AI-powered security tools and automated pipelines for Google Cloud. The role involves writing backend code, designing APIs, assessing security of distributed systems, and analyzing telemetry to implement automated fixes. It requires experience in software development and at least one year of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML field, along with security engineering experience. | Agent | 7 |
| Senior Software Engineer, DevAI, Core Google is seeking a Senior Software Engineer to join the DevAI, Core team, focusing on building agentic solutions to automate code maintenance within Google3. This role involves designing, developing, and testing these solutions, partnering with distributed teams, and contributing to the Self-Maintaining Codebase (SMC) organization's goal of reducing code evolution costs and technical debt. | Agent | 7 |
| Software Engineer III, AI/ML, DSP/HTP Optimisation Software Engineer III at Google, focusing on optimizing ML model performance on specialized hardware (DSP/HTP) to meet strict power and thermal constraints. This role involves hardware-specific optimizations, power profiling, and ensuring ML model efficiency within system architecture. | Serve | 7 |
| Customer Engineer III, Applied AI, Google Cloud Customer Engineer III, Applied AI, Google Cloud. This role focuses on providing technical expertise in Conversational AI and customer experience, bridging business issues with Generative AI solutions. The engineer will act as a subject matter expert, lead architect for AI frameworks, and help customers design and implement AI solutions from proof-of-concept to production. Responsibilities include advising customers, guiding AI solution integration, developing PoCs/MVPs, and collaborating with product management. | Agent | 7 |
| Senior Software Engineer, Automotive AI Senior Software Engineer on the Automotive AI team, focusing on building and integrating Gemini enterprise conversational agents into automotive products. This role involves developing AI/ML technologies, LLMs, and NLU infrastructure, with a strong emphasis on large-scale deployment and reasoning capabilities. | Agent | 7 |
| Senior Security Engineer, National Security Senior Security Engineer focused on building AI-driven security tools and workflows for Google Public Sector, including AI-native offensive tools, automated evaluation pipelines, and integrating LLMs/agentic workflows. Requires a Top Secret/SCI clearance. | AgentEval Gate | 7 |
| Staff Software Engineer, AI-Empowered Security, Cloud CISO Staff Software Engineer role focused on AI-Empowered Security within Google Cloud CISO Security Engineering. The role involves architecting and scaling platforms that automate security checks, designing and evaluating AI-driven security capabilities, and leading identification of AI opportunities. It requires experience with large-scale distributed systems, security engineering, and AI/ML infrastructure, with a preference for experience in Generative AI, LLM-based applications, or multi-agent orchestration systems. | AgentServe | 7 |
| Senior Software Engineer, Storage AI/ML Senior Software Engineer role focused on optimizing Google Cloud Storage for AI/ML workloads. The role involves developing specialized AI client libraries, benchmarking performance, investigating storage optimizations, and collaborating with various GCP teams to drive storage innovation for AI/ML. Requires experience with large-scale infrastructure, distributed systems, and AI/ML infrastructure. | Serve | 7 |
| Senior Software Engineer, Performance, AI and Infrastructure Senior Software Engineer focused on performance and infrastructure for AI at Google. This role involves developing and optimizing systems that support AI models at scale, ensuring efficiency, reliability, and velocity. Responsibilities include coding, design reviews, debugging, and contributing to the overall AI infrastructure. | Serve | 7 |
| Senior Leadership Technical Program Manager, AI Data Lead complex projects that explore the profound impact of data on the quality of AI models and products, spanning training, testing, evaluation, and adaptation. Work with engineering, product management, and other partners to define workstreams, requirements, schedules, resources, and milestones. Identify and implement risk mitigations and resolve issues. Provide project status updates to various audiences. | DataPost-train | 7 |
| AI Software Engineer, Full Stack, NotebookLM AI Software Engineer focused on building the full-stack web application for NotebookLM, a product that redefines user interaction with information by creating a thinking partner. The role involves developing agentic workflows, integrating AI features into scalable web interfaces, and collaborating across teams to launch new product capabilities. | AgentServe | 7 |
| Senior Software Engineer, Machine Learning, Payments Senior Software Engineer, Machine Learning, Payments at Google Singapore. This role focuses on building and maintaining ultra-reliable production ML services and massive batch pipelines for the Payments team. It involves developing ML models, working with product teams for experimentation, analyzing data, and designing experiments. Requires 5 years of software development experience and 3 years each in ML infrastructure and data pipelines for ML. Preferred qualifications include experience with production ML models and system efficiency analysis. | ServeData | 7 |
| Software Engineer III, AI Answers Quality Software Engineer III role focused on improving AI Answers Quality within Google Search. The role involves developing code for product/system development, participating in design reviews, running live experiments, and triaging/debugging issues. The primary goal is to provide nuanced and diverse answers to user queries, leveraging question-answering technologies at scale. Experience in information retrieval, search quality, ranking systems, and machine learning is preferred. | Ship | 7 |
| Senior Data Engineer, GTM Senior Data Engineer role focused on building data pipelines and infrastructure to process unstructured customer feedback data, integrating AI agents and LLMs for insights and routing. The role involves NLP, embedding workflows, and MLOps/LLMOps principles. | DataAgent | 7 |
| Engineering Manager Engineering Manager for Google Cloud's Access Intelligence team, focusing on building an intelligent security layer for IAM using machine learning and Generative AI to achieve 'Least Privilege' and 'Zero Standing Privileges'. The role involves leading a team, driving technical direction, and overseeing the development and deployment of scalable security features for Agentic AI. | Agent | 7 |
| Software Engineer, AI/ML Computer Vision Software Engineer role focused on implementing computer vision solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in Computer Vision and ML infrastructure. | ServeData | 7 |
| Senior Software Engineer, AI, TPU Infrastructure The Senior Software Engineer, AI, TPU Infrastructure role focuses on designing, developing, and validating TPU-based systems and building cloud compute software for TPU AI infrastructure. This role involves working with large-scale infrastructure and distributed systems to support AI model development and deployment. | Serve | 7 |
| Senior Software Engineer, AI/ML, Google Photos Reminiscing Senior Software Engineer for Google Photos Reminiscing team, focused on leveraging ML to enhance the Memories feature. The role involves developing high-quality software solutions, collaborating with cross-functional teams, and shaping technical direction. Requires experience in software development, ML infrastructure, and ML fields like speech/audio or reinforcement learning. | 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 |
| Engineering Analyst Manager, Account Security, Intelligent Defenses Lead This role manages a team of engineering analysts focused on building AI systems for account and device integrity, threat detection, and automation. The primary focus is on developing and deploying AI agents and foundational models to automate operational tasks and improve security defenses. The role involves cross-functional collaboration and influencing stakeholders. | AgentData | 7 |
| Senior Software Engineer, AI/ML, Ads Safety Senior Software Engineer role focused on AI/ML within Google Ads Safety. The role involves designing and implementing solutions in specialized ML areas, leveraging ML infrastructure, and contributing to product/system development. Requires experience in software development, ML infrastructure, and quantitative fields. | Serve | 7 |
| Software Tech Lead, GPU, AI Infrastructure This role involves leading a team focused on developing and integrating system software for GPU-based AI/ML supercomputers in Google's data centers. The work includes designing, developing, testing, and debugging system software and networking technologies for accelerator products, with a focus on enabling AI/ML innovations for Google and its Cloud customers. The role requires interaction with various software and hardware components, collaboration with cross-functional teams, and setting team priorities and technical roadmaps. | Serve | 7 |
| Staff Software Engineering Manager, Emergent AI Infrastructure Staff Software Engineering Manager for Emergent AI Infrastructure at Google, focusing on building and scaling AI infrastructure for Google customers, including internal teams, Google Cloud customers, and end-users. The role involves technical leadership, people management, and ensuring security for large-scale, sophisticated projects with high security requirements, including those supporting top-secret cleared projects. | Serve | 7 |
| Compiler Engineer Compiler Engineer for Tensor Processing Unit (TPU) to accelerate machine learning workloads. This role involves architecting and compiling distributed implementations, collaborating with hardware and software teams to optimize ML chip performance, and enabling processors for ML acceleration. Requires experience in software development and familiarity with ML infrastructure or related ML fields. | Serve | 7 |
