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 |
|---|---|---|
| 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 |
| 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 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Tech Lead, Google Kubernetes Engine AI Platform Tech Lead for Google Kubernetes Engine (GKE) AI Platform, focusing on managing containerized AI/ML workloads on GPU/TPU infrastructure using Kubernetes. The role involves driving innovation in reliability, efficiency, and scale of AI infrastructure, engaging with customers, and leading technical direction for ML workload efficiency and optimization. | Serve | 7 |
| Software Engineer, AI/ML, Chronicle Security Software Engineer role focused on building AI/ML solutions for Google's Chronicle Security product, involving AI agents, LLM applications, ML infrastructure, model optimization, and large-scale data processing within a security context. | AgentData | 7 |
| Technical Program Manager III, Agentic Automation, Platforms and Devices Technical Program Manager III role focused on Agentic Automation within Google's Platforms and Devices team. The role involves leading cross-functional program execution, defining milestones, creating automated processes using AI/ML tools, and managing risks and dependencies for projects in the Agentic Automation pillar. Requires experience with Generative AI, LLMs, and ML. | Agent | 7 |
| Image Processing Engineer Image Processing Engineer role focused on optimizing image quality across hardware and software stacks, fine-tuning 3A algorithms, and building ML automation tools for image quality tuning, testing, benchmarking, and calibration workflows. Requires experience in image quality or computer vision and proficiency in Python and C++. | Data | 7 |
| Technical Program Manager III, Machine Learning, Core Technical Program Manager III, Machine Learning, Core at Google. This role involves managing complex, multi-disciplinary machine learning technology programs from start to finish, working with cross-functional teams to define requirements, identify risks, manage schedules, and communicate progress. The focus is on driving innovation in ML technologies that enable Google's products to understand users, contributing to AI and Infrastructure at scale. | Ship | 7 |
| Senior Software Engineer, Vision, Camera and Imaging, XR Senior Software Engineer role focused on developing full-stack vision, camera, and imaging solutions for XR devices, integrating AI and XR technologies to create augmented human intelligence experiences. The role involves optimizing software layers for quality, latency, and power efficiency, evaluating and developing new technologies, and collaborating across multiple teams including Google Research. | ShipAgent | 7 |
| Senior Software Engineer, Infrastructure, CoreOS Agentic Engineering This role focuses on applying AI strategies to optimize Google's compute infrastructure, specifically within the CoreOS and Agentic Engineering teams. The engineer will build tools for kernel quality insights, manage the rollout of fixes, and contribute to the AI revolution in testing, releasing, and supporting the CoreOS. The role involves a mix of exploration, engineering, and productionization, aiming to develop critical services powered by AI. | Serve | 7 |
| Photos Mission Tech Lead, Applied AI, Full Stack Google Photos is seeking a Mission Tech Lead for Applied AI, focusing on Generative AI product features. This role involves defining long-term engineering goals, technical strategy, and architectural roadmaps, with a strong emphasis on prototyping and validating zero-to-one Generative AI concepts. The position requires extensive full-stack development experience, including back-end (Java, Python, GO, C++) and front-end (JavaScript, TypeScript), as well as experience with Generative AI Agents. | Agent | 7 |
| Senior Technical Solutions Consultant Senior Technical Solutions Consultant responsible for the technical relationship of Google's largest advertising clients and/or product partners. This role will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. The role will lead the end-to-end architecture and implementation of a Digital Twin ecosystem for Google’s consumer hardware product design and manufacturing, integrating Vertex AI/Gemini Enterprise to pioneer autonomous agents that drive agentic insights and action automations. | AgentServe | 7 |
| Senior Software Engineering Manager, Dataproc, Google Cloud Senior Software Engineering Manager for Google Cloud Dataproc, responsible for leading a team to build an AI-ready data platform with GPU support, specialized runtimes, and integration with Vertex AI. The role involves architecting lakehouse solutions, optimizing open-source stacks, and directing the integration of AI/ML workloads for enterprise customers. | ServeData | 7 |
| Software Engineer, Google Ads, Actor Safety ML Infrastructure Software Engineer role focused on building ML infrastructure for Google Ads, specifically for actor safety. Requires experience in software development (Python, C++, SQL) and building large-scale infrastructure, distributed systems, or compute technologies. Experience with machine learning infrastructure is a minimum qualification. | Serve | 7 |
| Software Engineer, GPU Performance Software Engineer focused on optimizing GPU performance for Google's AI models and services. This role involves low-level GPU programming, performance engineering, and influencing the GPU software ecosystem and fleet deployment. | Serve | 7 |
| Software Engineer III, AI/ML Recommendations, Rankings, Predictions, Google Ads Software Engineer III at Google Ads focused on building and deploying recommendation systems models, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product or system development code, collaborating with peers, triaging issues, and debugging. Minimum qualifications include a Bachelor's degree, programming experience in Python or C++, and experience building/deploying recommendation systems models and ML infrastructure in production. | ShipData | 7 |
| Applied AI Staff Software Engineer, Looker Staff Software Engineer to lead the integration of AI and LLMs into the Looker data visualization and dashboarding platform, aiming to automate insights, enhance data storytelling, and build business intelligence experiences. | ShipAgent | 7 |
| Technical Lead, Machine Learning, Google Play Technical Lead for Machine Learning in Google Play, focusing on improving AI features using Gemini prompts, computer vision, and experimental validation. The role involves designing and building infrastructure for AI response quality and collaborating with research teams. | AgentEval Gate | 7 |
| Staff Software Engineer, TPU Machine Learning Supercomputer Staff Software Engineer role focused on designing and developing system software for TPU Machine Learning Supercomputers, improving scalability and reliability of large-scale software across distributed hardware. The role involves working on various software layers, from host daemons to network routing, and developing analytics for managing ML systems. Experience with C++, Go, distributed systems, and ML applications is required. | Serve | 7 |
| Technical Lead, Native Commerce Integrations Technical Lead role focused on building the foundational protocol and API layer for AI agents to interact with commerce back ends. This involves designing schemas, developing AI commerce experiences on Google surfaces, building native integrations, and ensuring trust and safety for agentic transactions. The role also involves leading a team of engineers, driving technical strategy, and contributing to the codebase. | AgentServe | 7 |
| Software Engineering Manager, Commerce Shopping Quality Journey Orchestration Manage a team focused on orchestrating AI quality within Google Shopping, leveraging LLM-based autoraters for user metric proxies and driving improvements through advanced response orchestration. | Agent | 7 |
| RTL Design and Integration Engineer, TPU and ML This role focuses on the RTL design and integration of Google's Tensor Processing Units (TPUs), which are custom hardware accelerators for AI/ML workloads. The engineer will be responsible for microarchitecture, design, implementation, and integration of digital logic blocks, collaborating with cross-functional teams to deliver hardware. The role emphasizes optimizing for performance, power, and area in complex digital designs for AI accelerators. | Serve | 7 |
| Software Engineer III, AI/ML Computer Vision, AR Software Engineer III at Google working on AI/ML Computer Vision for AR. Responsibilities include writing product/system code, collaborating with peers, contributing to documentation, triaging issues, and implementing computer vision solutions with ML infrastructure, model optimization, and data processing. Requires a Bachelor's degree, 2 years of Python/C++ experience, 1 year of Computer Vision experience, and 1 year of ML infrastructure experience. | ServeData | 7 |
| Software Engineer III, AI/ML, Google Cloud Software Engineer III on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. Responsibilities include writing product/system code, collaborating on design/code reviews, contributing to documentation, triaging/debugging issues, and implementing solutions in specialized ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. | Serve | 7 |
| Software Engineer III, AI/ML, Google Ads Software Engineer III role within Google Ads focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in programming (Python/C++) and ML infrastructure, with a specialization in areas like speech/audio, reinforcement learning, or other ML fields. | Serve | 7 |
| Software Engineer III, AI/ML, AI and Infrastructure Software Engineer III on the AI and Infrastructure team at Google, focusing on delivering AI and Infrastructure at scale. Responsibilities include writing code, collaborating on design and code reviews, triaging issues, and implementing ML solutions with a focus on ML infrastructure, model optimization, and data processing. Requires experience in Python/C++, ML infrastructure, and a specialization in areas like speech/audio or reinforcement learning. | ServeData | 7 |
| Staff Software Engineer, Machine Learning Compilers, Edge TPU Staff Software Engineer focused on building ML compilers for EdgeTPU hardware, optimizing ML models for inference, and working on hardware/software co-optimizations. Collaborates with ML model developers and researchers to deploy models on EdgeTPU. | Serve | 7 |
| Senior Software Engineer, AI/ML, Google Workspace Senior Software Engineer role focused on building AI/ML features for Google Workspace products, impacting billions of users. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and collaborating with model builders from Google DeepMind to shape the future of productivity tools. | Ship | 7 |
| Staff Software Engineer, TPU Performance Staff Software Engineer focused on optimizing the performance and efficiency of Google's TPU fleet for Machine Learning training and serving workloads, including models like Gemini. This role involves deep analysis of performance metrics, collaboration with product teams and researchers, and implementation of solutions at scale, potentially touching compiler, runtime, model co-design, quantization, and sparsity. | ServePost-train | 7 |
| Software Engineer III, AI/ML GenAI, Google Workspace Software Engineer III at Google Workspace focused on implementing GenAI solutions for productivity tools like Gmail, Docs, and Meet. The role involves utilizing ML infrastructure, contributing to data preparation, optimization, and performance enhancements, and working with core GenAI concepts such as LLMs, Multi-Modal, and Large Vision Models for text, image, video, or audio generation. The primary goal is to build AI-powered features into user-facing products. | ShipServe | 7 |
| Senior Software Engineer, AI/ML, YouTube Senior Software Engineer at Google's YouTube, focusing on AI/ML development. The role involves writing and testing code, collaborating with stakeholders, contributing to documentation, triaging and debugging issues, and designing/implementing solutions in specialized ML areas using ML infrastructure. Requires experience in Python, C++, software design, and specific ML fields like speech/audio, reinforcement learning, or ML infrastructure. | Serve | 7 |
| Senior Software Engineer, Machine Learning, Google Cloud Compute Senior Software Engineer on Google Cloud Compute focusing on ML/AI algorithms, deep learning, and NLP. Responsibilities include software development, design, testing, deployment, and maintenance, with a focus on managing project priorities and deliverables. Requires 5 years of software development experience and 3 years of experience with ML/AI algorithms and tools. | Serve | 7 |
| Senior Software Engineer, GPU Performance Senior Software Engineer focused on optimizing GPU performance for Google's AI models and products. This role involves low-level GPU programming, compiler optimizations, and influencing the GPU software stack and fleet deployment to ensure top performance for ML workloads. | Serve | 7 |
| Software Engineer III, AI/ML, YouTube Software Engineer III, AI/ML role at Google YouTube, focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in Python/C++, ML infrastructure, and potentially speech/audio or reinforcement learning. | Serve | 7 |
| Software Engineer III, AI/ML, Google Cloud AI Software Engineer III on the Google Cloud AI Research team, focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product/system development code, collaborating with peers, triaging issues, and debugging. Requires experience in Python/C++, and ML infrastructure such as model deployment, evaluation, optimization, and data processing. Experience with speech/audio or reinforcement learning is a plus. | Serve | 7 |