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 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 |
| 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. |
| 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 |
| [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 |
| Staff Software Engineer, Agentic AI Staff Software Engineer role focused on developing Agentic AI experiences, leveraging LLMs and Reinforcement Learning, within Google's Core team. The role involves influencing and designing initiatives for Enterprise Knowledge Platform and Gemini Enterprise, collaborating with Deepmind. | Agent | 7 |
| Senior Engineering Manager, Geo This role is for a Senior Engineering Manager at Google's Geo team, focusing on leading software engineers and managing technical project strategy, ML infrastructure optimization, and the design/implementation of ML solutions. The role involves people management, setting team priorities, developing technical roadmaps, and overseeing system designs, particularly within the Geo domain (Maps, Earth, etc.). Experience with ML infrastructure, speech/audio, reinforcement learning, or other ML specializations is required. | ServePost-train | 7 |
| Software Engineer Manager II, Embedded Systems/Firmware, Silicon This role manages a team of compiler engineers focused on optimizing AI models for EdgeTPU hardware. Responsibilities include improving compiler quality and performance, developing parallelization and scheduling algorithms for ML workloads, and mapping AI models to hardware instructions. The role requires experience in compiler development, ML accelerators, and people management. | Serve | 7 |
| Senior Software Engineer, Server AI Foundations, Core Senior Software Engineer on the Server AI Foundations team, focusing on building AI-powered tools for Google developers to enhance productivity and integrate AI into workflows. The role involves technical leadership in design, architecture, and implementation of AI-integrated solutions within Google's production platform infrastructure. | Agent | 7 |
| Senior RTL Design Engineer, Google cloud This role focuses on the design and implementation of Application-Specific Integrated Circuits (ASICs) for accelerating Machine Learning (ML) computations in data centers, specifically for Google's AI and Infrastructure team. The engineer will work on micro-architecture, implementation, and optimization of these custom silicon solutions, collaborating with various teams to deliver high-performance and efficient hardware accelerators. | Serve | 7 |
| Product Manager, Geo User-Generated Content Trust Product Manager for Google Geo User-Generated Content Trust, focusing on leveraging AI/ML models to reduce fraud and abuse in Google Maps UGC. This role involves defining product strategy, roadmaps, and success metrics, and collaborating with engineering, analytics, and other cross-functional teams. | Ship | 7 |
| Senior Product Manager, Applied AI, Google Cloud Senior Product Manager for Applied AI within Google Cloud, focusing on enterprise-grade products like Healthcare APIs and Risk AI models. The role involves defining strategy, roadmaps, and features for AI/ML products, collaborating with data science teams on model quality, and managing relationships with global banks and healthcare organizations. Requires experience in launching AI/ML products, particularly in Generative AI and large models, with a focus on balancing model quality and cost. | Ship | 7 |
| Engineering Analyst II, Gemini and Labs This role focuses on defining and implementing safety strategies for generative AI systems, including developing evaluation paradigms, guiding engineering and research teams on safety mitigations like fine-tuning and guardrails, and analyzing the AI threat landscape to create a proactive mitigation agenda. The role is critical for ensuring AI safety is a foundational component of Google's AI systems. | Eval GatePost-train | 7 |
| Senior Software Engineer, Cloud AI/ML Infrastructure This role focuses on building Agentic User Interface (UI) flows for Large Language Model (LLM) journeys, collaborating with UX and researchers to democratize AI techniques and improve end-to-end user experiences for Google Cloud's Generative AI features. | Agent | 7 |
| Application Engineer Application Engineer role focused on building Generative AI and LLM-based applications and agents, integrating them into web applications, and supporting sales and supply chain processes within the Google Devices & Services team. Requires strong software development skills and experience with AI/ML technologies. | Agent | 7 |
| Solutions Acceleration Architect, Google Cloud This role focuses on designing and developing AI-powered solutions and prototypes for enterprise customers on Google Cloud Platform. The Solutions Acceleration Architect will lead technical relationships with partners, build trusted advisory relationships, and define technical architectures for AI initiatives including fine-tuning and RAG. The role involves showcasing the potential of data and AI to solve business challenges and contributing to industry thought leadership. | Agent | 7 |
| Engineering Director, Knowledge Catalog Engineering Director to lead the technical and architectural reinvention of the Knowledge Catalog platform, integrating Generative AI as a core competency for autonomous data management and governance. Focus on defining AI-first roadmaps, managing LLM integration, and ensuring high-quality data for AI/ML models. | AgentData | 7 |
| Staff Software Engineer, Cloud AI/ML Infrastructure Staff Software Engineer for Google Cloud's AI/ML Infrastructure team, focusing on building and operating a multi-tenant ML-as-a-service platform to enable Google product teams to build and launch GenAI-powered products. The role involves simplifying AI workflows, collaborating across front-end, infrastructure, and modeling expertise, and democratizing AI techniques. | ServeAgent | 7 |
| Customer Engineer, AI Infrastructure Modernization TPU, Google Cloud Customer Engineer focused on AI infrastructure modernization using Google Cloud's TPU/GPU accelerators. The role involves guiding customers on architecture, deployment, and optimization of large-scale training and inference jobs, working with AI/ML accelerators, and supporting sales teams in piloting and deploying these solutions. | ServeData | 7 |
| AI Strategic Cloud Engineer, Google Cloud This role involves designing and implementing machine learning solutions for enterprise customers on Google Cloud, acting as a trusted technical advisor, and coaching customers on production ML systems. It requires experience with ML solutions, cloud enterprise solutions, and coding in general-purpose languages, with a preference for recommendation engines, data pipelines, and deep learning frameworks. | Ship | 7 |
| Staff Software Engineer, Network Security Staff Software Engineer for Google Cloud Networking Security team in Bangalore, focusing on building and operating large-scale network security services. The role involves defining technical strategy, leading the implementation of AI/ML features for threat detection and automated responses, and providing technical guidance and mentorship. Requires experience in software development, network security, distributed systems, cloud, and AI/ML. | Agent | 7 |
| Senior Staff Software Engineer, Search Intelligence Senior Staff Software Engineer role at Google, focusing on Search Intelligence. The role involves technical leadership, designing, developing, and enhancing large-scale software solutions, collaborating with AI/ML researchers and Product Managers, and ensuring the reliability and scalability of Search Intelligence features for the Indian market. Requires 8 years of software development experience and experience in technical leadership. | Ship | 7 |
| Technical Program Manager, Google Cloud Applied AI This role is for a Technical Program Manager focused on building high-impact AI agents for enterprise clients within Google Cloud. The TPM will elicit business requirements, conduct A/B testing and PoCs, collaborate with Data Science and Engineering on data pipelines for ML models, and ensure solutions address supply chain bottlenecks. They will also manage a team of TPMs, including resource allocation and hiring. The role involves integrating generative AI solutions into business processes and agent-based modeling. | Agent | 7 |
| Software Engineering Manager, Databases, Google Cloud Software Engineering Manager for Google Cloud's Database Intelligence Platform team, focusing on delivering AI-powered database management, AI-assisted journeys, and intelligent agents for monitoring and troubleshooting. The role involves technical leadership, team management, and collaboration across multiple database teams within GCP. | Agent | 7 |
| Technical Solutions Engineer, AI/ML Technical Solutions Engineer for Google Cloud AI/ML portfolio, focusing on customer-reported issues, deployment failures, and model performance degradation. Responsibilities include troubleshooting, debugging ML models (TensorFlow, PyTorch) in production environments (Kubernetes, Compute Engine), and ensuring production readiness of generative AI models. Requires Python coding, AI/ML concepts, and networking/system administration experience. | ServePost-train | 7 |
| Staff Software Engineer, Search Intelligence Staff Software Engineer at Google, focusing on Search Intelligence. The role involves designing, developing, and deploying software solutions to improve the quality of AI-generated content within Google Search. This includes implementing and experimenting with AI/ML models, analyzing performance, and managing open-ended problems in large-scale systems. The position requires experience in AI platform and ML infrastructure, with a focus on improving AI-generated content quality and system health. | ShipServe | 7 |
| Staff Software Engineer, Access Intelligence Staff Software Engineer role focused on defining strategy and developing solutions for agentic cloud use cases within Google Cloud. Requires strong software development, design, and architecture experience, with a preference for experience in building agentic systems. | Agent | 7 |
| Technical Solutions Engineer, Artificial Intelligence/Machine Learning Technical Solutions Engineer for Google Cloud AI/ML portfolio, focusing on customer-facing support, troubleshooting ML deployments (including Generative AI), and ensuring production readiness. Requires strong Python scripting, debugging skills, and experience with ML frameworks and cloud infrastructure. | ServePost-train | 7 |
| Data Science Manager, AI/ML This role is for a Data Science Manager to lead a team in India focused on AI/ML initiatives for People Operations. The manager will provide technical leadership, oversee the development and deployment of AI/ML models (including NLP and predictive models), and bridge the gap between business needs and technical execution. The role involves hiring, mentoring, and managing the data science pod, driving technical architecture, and advocating for AI transformation within the organization. | ShipAgent | 7 |
| Senior Engineering Analyst, Photos Responsible AI This role focuses on ensuring the safety and trustworthiness of AI features within Google Photos, specifically generative AI. The Senior Engineering Analyst will work with various teams to develop and execute comprehensive evaluations, identify emerging risks and abuse vectors, and build resilience against malicious inputs. The role involves defining testing approaches, tools, and solutions, establishing testing to discover risks, and defining program metrics and feedback loops. | Eval GatePost-train | 7 |
| Staff Software Engineer, RCPS AI Staff Software Engineer role at Google Cloud focusing on AI and ML, specifically in building AI Agents, Agentic AI, and ML models with NLP capabilities for security products. The role involves leading a full-stack team, designing, developing, testing, and deploying platforms, and collaborating with various stakeholders. | Agent | 7 |
| Staff Software Engineer, YouTube Developer Infrastructure Staff Software Engineer role focused on building applied AI products and developer infrastructure for YouTube, with an emphasis on Generative AI tools and multi-modal agents to improve the development process. | Agent | 7 |
| Staff Software Engineer, Search Platforms Staff Software Engineer role focused on building AI for developers within Google Search, leveraging agentic frameworks and LLM-powered automation to enhance developer experience and build scalable platform systems. | Agent | 7 |
| Software Engineer, AI Agents, Tools and Productivity Software Engineer role focused on building AI-based agents and a full-stack application for workflow automation within the AI and Infrastructure organization at Google Cloud. The role involves defining requirements, leading development, and implementing features to automate core tasks and improve program delivery. | Agent | 7 |
| Technical Program Manager, AI Agent Prototyper, Supply Chain Technical Program Manager to prototype AI agents for supply chain optimization within Google Cloud. The role involves analyzing business requirements, designing and building AI agents, collaborating with data science and engineering teams, and leading a technical program management team. Requires experience in supply chain operations, leadership, prompt engineering, classical ML, and generative AI. | Agent | 7 |
| Software Engineer, AI/ML Software Engineer role focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in software development and ML infrastructure, with preferred qualifications in C++ and software design. | Serve | 7 |
| Staff Software Engineer, Applied AI, Search Staff Software Engineer role focused on building Search for Commerce, including traditional search and agentic AI discovery experiences. The role involves developing scalable product search solutions and conversational agents for enterprises, leveraging ML infrastructure and collaborating with model builders. | Agent | 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. The role involves writing product/system code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in ML areas including ML infrastructure, model optimization, and data processing. Requires experience in Python/C++, ML infrastructure (deployment, evaluation, optimization, data processing), and optionally speech/audio or reinforcement learning. | Serve | 7 |
| Software Engineer, PhD, Early Career, 2026 Google is seeking a PhD Software Engineer with expertise in AI/ML and large-scale distributed systems to design, test, deploy, and maintain software solutions for AI and Infrastructure (AI2) organization. The role involves defining technical goals, developing scalable systems, applying research expertise to complex problems, and contributing to essential Google services and Cloud products. | Serve | 7 |
| Design Verification Engineer, PhD, Early Career This role focuses on the design and verification of AI/ML hardware accelerators (TPUs), involving architecture definition, performance modeling, RTL design, and hardware/software co-design. The engineer will work on optimizing ML workloads and developing efficient design verification strategies for next-generation TPUs, leveraging AI techniques for physical design convergence. | Serve | 7 |
| Software Engineering Manager II, Google Cloud Software Engineering Manager II for Google Cloud's AI and Infrastructure team, focusing on delivering AI and Infrastructure at scale. The role involves technical leadership, team management, setting priorities, developing roadmaps, and guiding system designs, with a focus on enabling advanced AI models and delivering computing power. | Serve | 7 |
| Software Engineer, PhD, Early Career, Campus, 2025 Start Software Engineer with a PhD, focusing on AI/ML infrastructure and systems within Google Cloud. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, triaging and debugging complex technical issues, and collaborating on design, analysis, and development across the stack. The focus is on building and scaling AI/ML capabilities on Google's frameworks and infrastructure, contributing to products used by billions. | Serve | 7 |
| Silicon Architecture/Design Engineer, PhD, Early Career Silicon Architecture/Design Engineer focused on developing next-generation TPUs for AI/ML workloads. Responsibilities include workload characterization, architecture specification, power/performance modeling, RTL design, hardware/software codesign, and leveraging AI techniques for physical design. The role requires a PhD and experience with accelerator architectures and data center workloads. | Serve | 7 |