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).
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).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Lead Group Product Manager, Ads and Commerce, Payments Risk Lead Group Product Manager for Payments Risk at Google, focusing on building risk management functions for enterprise products like Ads, Cloud, and Workspace. The role involves defining product strategy, partnering with engineering and data science, and leveraging ML/Generative AI to manage risk and protect against bad actors within the Payments Platform. Requires experience launching AI/ML products and managing technical roadmaps. | Ship | 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 |
| Staff Software Engineer, AI/ML, Contextual Suggest Staff Software Engineer at Google working on AI/ML for Contextual Suggest, focusing on recommendation systems, ML infrastructure, and integrating AI breakthroughs into user-facing features and backend systems for Google Search. The role involves technical leadership, design, implementation, and deployment of models in production. | ShipServe | 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, Machine Learning, Payments Software Engineer, Machine Learning, Payments role at Google Singapore. Focuses on developing and deploying ML models for the Payments team, ensuring services and data are available and reliable. Requires experience in software development and ML infrastructure. | ShipServe | 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 |
| Senior Data Scientist, Research, App Ecosystem and Trust This role focuses on applying advanced quantitative methods and machine learning to protect Android users from abusive applications. The data scientist will conduct end-to-end analysis, including model development and evaluation, to detect and prevent various forms of abuse, impacting the safety of billions of users. | Post-train | 7 |
| Software Engineering Manager, Content Safety, Infra Software Engineering Manager for Content Safety, focusing on ML infrastructure and AI-based techniques to protect users from harmful content. The role involves managing engineers, setting team priorities, developing technical roadmaps, and overseeing the deployment of large-scale projects. Requires significant experience in ML infrastructure, model deployment, evaluation, data processing, and fine-tuning, with a strong emphasis on people management and technical leadership. | ServePost-train | 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 |
| Product Manager, Governance Risk and Compliance Tooling Product Manager for Governance Risk and Compliance (GRC) tooling and infrastructure team, focusing on integrating AI/ML capabilities into GRC infrastructure to automate risk assessments and compliance monitoring. The role involves defining product strategy, managing the full product lifecycle, and partnering with engineering, data science, legal, and privacy stakeholders to deliver AI-first solutions. | 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, Generative AI Safety Technical Program Manager for Generative AI Safety at Google, focusing on leading initiatives to expand content safety infrastructure, integrate safety classifiers, and build rapid response capabilities for AI abuse. The role involves partnering with cross-functional leaders to convert threat intelligence into scalable models and technical protections within the serving stack, orchestrating safety engineering teams, and managing global workflows for timely integration and evaluation of safety models for Gemini releases. This role also coordinates with infrastructure teams, generative AI product groups, and foundational model researchers to integrate safety signals into primary models. | Eval GatePost-train | 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 |
| Practice Customer Engineer II, Cloud AI, Manufacturing and Conglomerate Customer Engineer specializing in AI for manufacturing and conglomerate industries, focusing on accelerating adoption of complex AI workloads, developing prototypes, and providing technical expertise to customers. The role involves integrating AI models with enterprise data using RAG and agent patterns, coding in Python/JS/Go/Java, and providing feedback to product development. | Agent | 7 |
| Game Designer, Games, Inception, DeepMind This role is for a Game Designer at DeepMind's Inception team, focusing on creating AI-native game experiences. The designer will translate AI capabilities into game mechanics and prototypes, working with researchers and engineers to build novel gameplay systems. The role involves architecting agentic workflows and implementing generative AI within game production. | Agent | 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 |
| Practice Customer Engineer, Artificial Intelligence, Google Cloud Customer Engineer specializing in Gemini enterprise, focusing on integrating Generative AI into enterprise environments by architecting secure, data-connected solutions using agents and patterns like RAG. The role involves technical consultation, solution architecture, and driving adoption of Google Cloud AI. | Agent | 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 Product Manager, GenAI Content Safety Senior Product Manager for GenAI Content Safety, focusing on scaling safety systems, improving recall of safety protections, building feedback loops for signal performance, partnering with GDM and T&S teams to mitigate emerging risks, and expanding the usability of signals through tooling improvements. | Eval GateAgent | 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 UX Designer, Cloud AI Senior UX Designer for Google Cloud AI, focusing on designing the user experience for enterprise AI agents, including orchestration, reasoning transparency, and human-in-the-loop oversight. The role involves creating foundational UX frameworks, interfaces for complex AI reasoning, and human-AI collaboration mechanisms. | Agent | 7 |
| Senior Customer Engineer, AI Infrastructure, Google Cloud Senior Customer Engineer focused on AI infrastructure, specifically Google Cloud TPUs, for enterprise clients. This role involves designing, deploying, and optimizing AI training and inferencing solutions, advising on ML operations, and supporting sales teams by solving technical challenges related to AI hardware and software stacks. | ServePost-train | 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 |
| Senior Product Manager, AI Gmail Promotions Product Manager for Gmail Promotions Tab, focusing on leveraging AI/ML to personalize user experience, drive revenue, and scale engagement for 800M+ users. Requires experience launching AI/ML features for consumer products. | Ship | 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, Search Intelligence Freshness Software Engineer III role focused on ensuring Google Search's AI features (AI Overview and AI Mode) are up-to-date by incorporating real-time news context and freshness signals. This involves implementing ML solutions, utilizing ML infrastructure, optimizing models, and processing data, with a focus on improving the timeliness and accuracy of AI-generated information. | Agent | 7 |
| Software Engineer III, Generative AI, Payments Risk Software Engineer III role focused on building AI-driven risk management solutions for Google Payments, leveraging Generative AI and Machine Learning to combat online payment fraud. Responsibilities include developing novel solutions, implementing GenAI and ML models, and contributing to data preparation and optimization within a regulated fintech environment. | AgentData | 7 |
| Software Engineering Manager, GPU AI Infrastructure Software Engineering Manager responsible for leading a team that develops system software and networking technologies for GPU-based AI/ML supercomputers in Google's data centers. This includes managing engineers, defining technical roadmaps, and overseeing the integration, testing, deployment, and debugging of system software for accelerator products. | Serve | 7 |
| Software Engineering Manager, Acceleration Platform Software Engineering Manager to lead a team building AI-native, agentic systems for developer productivity, focusing on secure-by-default launches and automating model introspection. This role involves technical leadership, team building, and cross-functional collaboration. | Agent | 7 |
| Senior Software Engineer, TPU, AI Infrastructure Senior Software Engineer role focused on developing firmware and low-level software for Google's custom AI accelerators (TPUs). The role involves designing, building, and debugging hardware-software interfaces, firmware, simulators, and telemetry systems for ASICs, working closely with chip design and ML infrastructure teams to enable large-scale AI model deployment and operation. | Serve | 7 |
| Software Engineering Manager, Emergent AI infrastructure Team Software Engineering Manager for an Emergent AI infrastructure team focused on building next-generation on-premises AI infrastructure, integrating hardware to software design, workload management, and large-scale AI clusters. The role involves technical leadership, people management, and overseeing the deployment of large-scale projects. | Serve | 7 |
| Senior Staff Software Engineer, AI Innovation Senior Staff Software Engineer role focused on AI Innovation, providing technical oversight, mentorship, and strategy for AI and Infrastructure teams at Google. The role involves integrating generative AI tools and LLM interfaces into workflows, contributing to the development of AI models and platforms, and ensuring smooth project transitions. Requires strong programming, design, and architecture experience, with a focus on technical leadership and execution. | Agent | 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 |
| Product Manager, Android Infrastructure Product Manager for Android Infrastructure at Google, focusing on integrating AI across the Software Development Life Cycle (SDLC) to enhance developer productivity. The role involves defining strategy, leading integration of agentic tools, and collaborating with teams like DeepMind to deliver AI-powered solutions for Google developers. | Agent | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, including multi-agent workflows and RAG systems. Responsibilities include developing deployment plans, providing technical leadership, and accelerating customer time-to-value. | Agent | 7 |
| Senior Software Engineer AI/ML, Content Safety Applications Senior Software Engineer focused on building and scaling AI/ML infrastructure for content safety applications, including classifiers and generative AI experiences. The role involves the full lifecycle from data acquisition to deployment and maintenance, with a focus on protecting users from harmful content. | ServeAgent | 7 |
| [T] Senior Software Engineer, AI/ML, Google Cloud Senior Software Engineer role focused on AI/ML within Google Cloud, involving the design and implementation of ML solutions, leveraging ML infrastructure, and specializing in areas like speech/audio, reinforcement learning, or ML infrastructure. Requires experience in programming, software development, and ML infrastructure aspects such as deployment, evaluation, optimization, and data processing. | ServeData | 7 |
| Software Engineer III, AI/ML, Google Play Software Engineer III role at Google Play focused 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, contributing to documentation, triaging issues, and debugging. Requires experience in Python/C++, and ML infrastructure or a specialization in an ML field like speech/audio or reinforcement learning. | Serve | 7 |
| Group Product Manager, Google Images, Search and Feed Product leader to define and drive the roadmap for Google Images, transforming it into a continuous, assistive discovery journey. This role will leverage generative AI and LLMs to create novel user experiences, focusing on visual discovery, real-world outcomes, and personalized, queryless feed experiences. The role involves leading and mentoring a team of product managers and working cross-functionally to guide products from conception to launch. | ShipAgent | 7 |
