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 |
|---|---|---|
| Cloud AI Technical Program Manager III Technical Program Manager for Google Cloud's Generative AI products, focusing on enterprise customers. The role involves guiding the delivery of AI products, including agent platforms and model deployment, requiring deep technical and product understanding to manage complex AI programs from start to finish. | AgentPost-train | 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 |
| Group Product Manager, Generative AI, Google Cloud Product Manager for Generative AI on Google Cloud Platform, focusing on driving AI-driven experiences and solutions from ideation to production. This role involves cross-functional collaboration, roadmap definition, and staying current with Generative AI technologies to evolve product offerings. | Ship | 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 |
| Hardware Architecture Modeling Engineer, PhD, University Graduate This role focuses on developing architectural and micro-architectural models for next-generation TPUs (Tensor Processing Units) to enable quantitative analysis of performance and power. The engineer will contribute to Machine Learning workload characterization, benchmarking, and hardware-software co-design, collaborating with various teams to define TPU chip specifications and roadmaps for AI/ML hardware acceleration. | Serve | 7 |
| Software Engineer III, AI/ML Recommendations, Rankings, Predictions, YouTube Software Engineer III at Google working on AI/ML Recommendations, Rankings, and Predictions for YouTube. The role involves writing product/system code, collaborating with peers, contributing to documentation, triaging issues, and building/deploying recommendation systems models using ML infrastructure, with a focus on model optimization and data processing. Requires a Bachelor's degree, 2 years of Python/C++ experience, 1 year of experience building/deploying recommendation systems, and 1 year of ML infrastructure experience. | ShipData | 7 |
| Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Staff Software Engineer at Google working on AI/ML for YouTube Recommendations, Rankings, and Predictions. The role involves designing, developing, and deploying large-scale software solutions, providing technical leadership, and optimizing ML infrastructure. Key responsibilities include leading the design and implementation of recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires significant experience in building and deploying recommendation systems models in production and leading ML design and optimization. | ShipAgent | 7 |
| Software Engineering Manager II, AI/ML Recommendations, Rankings, Predictions, YouTube Software Engineering Manager II for AI/ML Recommendations, Rankings, and Predictions at YouTube. This role involves leading a team of engineers, setting team priorities, developing technical roadmaps, designing and implementing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires experience in software development, ML design, ML infrastructure optimization, building and deploying recommendation systems, and technical/people leadership. | ShipServe | 7 |
| Student Researcher, PhD, Winter/Summer 2026 Student Researcher (PhD) position at Google, focusing on exploratory research projects to advance scientific understanding and develop next-generation intelligent systems. The role involves participating in research to solve real-world, large-scale problems, with opportunities across various Google research teams. | Pretrain | 7 |
| Student Researcher, BS/MS, Winter/Summer 2026 Student Researcher Program at Google focusing on academic collaborations and scientific advancement in AI and other research areas. Students will work on exploratory projects to develop solutions for real-world, large-scale problems, potentially contributing to next-generation intelligent systems. | Pretrain | 7 |
| Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Senior Software Engineer focused on building and deploying recommendation systems models for YouTube, leveraging ML infrastructure and contributing to architecture design. This role involves coding, testing, debugging, and designing models for retrieval, prediction, ranking, and personalization. | ShipData | 7 |
| Software Engineer, Systems Research, PhD, Early Career Google is seeking a Software Engineer for Systems Research with a PhD to explore emerging technologies and systems, design and build prototypes for data center and cloud environments including machine learning, and influence products by operating across research and engineering teams. | Serve | 7 |
| Financial Analyst, Generative AI This role focuses on the financial analysis and strategic decision-making related to Generative AI technologies within Google's Search and K&I organization. The Financial Analyst will lead financial evaluations, build financial models, provide guidance on partnerships and remuneration structures, and quantify the financial impact of GAI products like AI Overviews and AI Mode. The role requires collaboration with cross-functional teams and involves managing resource allocations for evolving AI products. | — | 5 |
| Senior Strategist, Scams and Verification Trust and Safety Senior Strategist role focused on protecting users from offline scams by using data, applied AI, and machine learning to optimize human review, identify enforcement gaps, and develop automation opportunities. The role involves collaborating with engineers to develop algorithms and solve quality issues end-to-end, with a focus on driving projects that increase user safety and provide a better online experience through Google Ads. | Agent | 5 |
| Data Scientist, GenAI Strategy and Operations, DeepMind This role focuses on strategy and operations for a GenAI team, using data science and analytical methods to define metrics, build dashboards, and advise leadership. While the team works on GenAI, the role itself is not directly building or shipping AI models but rather supporting the operational aspects. | — | 5 |
| Android Application Engineer, Google Fi This role is for an Android Application Engineer at Google Fi Wireless. The engineer will be responsible for architecting core features, enhancing functionality for millions of users, and leading junior engineers. While the team applies Google's AI to solve problems and offers opportunities to build applied AI skillsets, the core responsibilities of this role are focused on Android application development, telephony expertise, and optimizing release management, rather than directly building or researching AI models. | — | 5 |
| Graphics/Machine Learning Hardware IP Silicon Architect This role focuses on architecting and integrating custom silicon solutions for Google's consumer products, specifically targeting hardware IP for Graphics, Multimedia, and Machine Learning acceleration. The individual will collaborate with software and hardware teams to define and deliver ASIC IP architectures that meet power, performance, and area targets, from initial design through to product launch. Experience with low-power ASIC hardware IP for complex SoCs, particularly in Graphics Processing and Machine Learning Acceleration, is preferred. | Serve | 5 |
| Technical Program Manager III, Executive Communications, Cloud AI Technical Program Manager for Google Cloud's AI resource governance team, focusing on communication and strategic alignment for AI product compute allocation across Google's AI ecosystem. | — | 5 |
| Customer Engineer, Cloud AI, Financial Services, Google Cloud Customer Engineer specializing in Cloud AI for the Financial Services industry. This role partners with technical sales teams to accelerate customer adoption of Google Cloud AI solutions. Responsibilities include developing prototypes, proofs-of-concept, and demos, providing technical consultation, and acting as a liaison between customers and product/engineering teams to address feature requests and issues. The role requires strong customer-facing and technical sales skills, with a focus on understanding customer needs and demonstrating the value of Google Cloud's AI portfolio. | — | 5 |
| Staff Research Data Scientist, Search Ads GenAI Staff Data Scientist role focused on Generative AI (GenAI) projects within the Search Ads organization, specifically on the AI mode surface. The role involves guiding product development and executive decisions using data science, experiment design, and data analysis to measure impact, identify growth opportunities, and understand trade-offs. The primary focus is on driving long-term value for Google's business through AI-driven product improvements in ads. | Ship | 5 |
| Senior Research Data Scientist, Ads Insights and Measurement This role focuses on applying quantitative methods, including machine learning and causal inference, to analyze and improve Google's advertising products. The primary goal is to understand advertising effectiveness, user behavior, and campaign performance at scale, translating data-driven insights into deployed products. | — | 5 |
| Finance Analyst, Geo Expansion This role is for a Finance Analyst focused on global expansion for Google Cloud Platform (GCP), specifically supporting the financial planning and analysis for infrastructure, new product launches, and market entries. The role involves financial modeling, forecasting, cost analysis, and partnering with leadership. While the role leverages AI tools for financial processes and considers AI infrastructure costs, it is not a core AI/ML development role. | — | 5 |
| Software Engineer III, Looker Developer Infrastructure and Tooling The role focuses on building and maintaining infrastructure, CI/CD pipelines, and tooling for the Looker engineering organization, with a specific emphasis on transitioning to Agentic Development. This involves inventing next-generation Dev AI capabilities, embedding code assistants, and agentic debugging frameworks into developer environments and pipelines. | Agent | 5 |
| Federal Go-To-Market Lead, AI Infrastructure, Google Public Sector This role drives business growth for Google Public Sector's AI Infrastructure business by forging partnerships and engaging with Federal customers. It involves collaborating with internal teams and C-suite executives to develop and execute Go-to-Market strategies for AI Infrastructure solutions, focusing on TPU/GPU sales and strategic customer relationships within the US Federal government. | — | 5 |
| Platform Technical Leader, Statera This role is for a Platform Technical Leader focused on load balancing infrastructure for AI workloads, connecting AI models and agents. The responsibilities include driving data plane performance, optimizing scalability, advocating for GKE, expanding network protocols (IPv6, HTTP/3), and strengthening DoS protection. The role requires significant experience in C++, software development, large-scale infrastructure, and distributed systems, with a focus on technical leadership. | Serve | 5 |
| Staff Software Engineer, Accelerator Platform Software Staff Software Engineer on the Accelerator Platforms and Laboratory Team at Google Cloud, focusing on foundational hardware and low-level software for accelerator-to-host connectivity. The role involves onboarding co-accelerators, designing and implementing system software (firmware, kernel drivers), developing tests and telemetry, debugging complex system-level challenges, and providing technical leadership. The team is part of the AI and Infrastructure group, supporting AI model development and computing power for Google's services. | — | 5 |
| Senior Virologist, DeepMind This role focuses on developing and executing biology evaluations to test the safety of AI models, specifically LLMs, and driving the development of harm frameworks and mitigation strategies. The individual will collaborate with experts in science, AI ethics, policy, and safety, and communicate results to decision-makers. The role requires a PhD in virology or equivalent, with experience in biosecurity principles at the intersection of microbiology and AI safety, including LLM risk assessments. | Eval Gate | 5 |
| Data Scientist, Research - multiple openings This role focuses on translating business questions into analytical frameworks, designing and evaluating mathematical models, and performing statistical analysis using data infrastructure. It involves data gathering, extraction, and validation to ensure readiness for analysis, with a strong emphasis on using analytics to solve product or business problems. | — | 5 |
| Technical Program Manager Technical Program Manager at Google DeepMind focused on managing the program lifecycle for AI/ML systems, infrastructure, and product evaluations. The role involves monitoring evaluation processes, defining performance metrics, developing data pipelines, and collaborating with research and engineering teams to drive progress and ensure program success. Requires experience in program management for complex technical products, technical judgment in ML systems, and knowledge of GenAI/LLM systems and evaluations. | — | 5 |
| Product Support Manager, Health Product Support Manager for Google's Health products, focusing on operational readiness, customer support experience, and implementing AI automation and AI Agents to drive efficiency and improve support metrics. | — | 5 |
| Global Security Partner Development Manager, Google Cloud This role focuses on driving the adoption and go-to-market execution of AI security solutions through partner enablement and channel management. The candidate will act as a subject matter expert on AI Threat Defense and Generative AI for security operations, organizing workshops and training partners on deploying and selling AI-driven cyber defense tools. | — | 5 |
| Practice Director, Generative AI, Google Cloud This role is a Practice Director for Generative AI within Google Cloud, focusing on setting and executing the Go-to-Market (GTM) strategy. The individual will drive business generation goals, collaborate with Product, Engineering, and Marketing teams, and manage the portfolio of GenAI solutions to fuel sales growth. Responsibilities include defining strategy, monitoring execution, showcasing thought leadership, addressing market opportunities, managing blockers to AI maturity, and partnering with engineering and sales for pipeline health and business reporting. The role requires experience in enterprise technology sales, GTM strategy, and Generative AI portfolios, with a focus on translating technical AI capabilities into business value. | — | 5 |
| gUP Platform and Devices Manager, Health Product Excellence Manager for Health Product Excellence, responsible for orchestrating and scaling AI-driven customer support experiences for Google's Health products. Focuses on operational readiness, digital-first transformations, and evolving support tools for automated, AI-native care, ensuring compliance with medically regulated features. | Agent | 5 |
| Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure This role is for a Software Engineer III on the Google Cloud Compute Infrastructure team. The role involves developing and maintaining the infrastructure that powers Google's services, including those related to AI. While the team works closely with AI development, the core responsibilities focus on the underlying compute infrastructure, not direct AI model development or deployment. | — | 5 |
| Software Engineer II, AI/ML, Google Security Operations This role is for a Software Engineer II on the AI/ML team within Google Security Operations. The engineer will focus on bridging gaps in Google's security tooling and implementing managed defense features within SOAR case management. Responsibilities include writing product/system development code, collaborating with peers, triaging and debugging issues, applying foundational ML concepts, and designing/developing high-quality code for security products and systems. The role requires experience with software development, data structures, algorithms, core ML concepts, and full-stack development. | Ship | 5 |
| Product Lead, YouTube Business Technology Product Lead for YouTube Support Systems, focusing on applying AI/ML to optimize support operations, manage the AI innovation lifecycle from PoC to production, and align technical roadmaps with business goals. Requires strong leadership, systems thinking, and experience integrating AI/ML solutions in a customer support context. | Agent | 5 |
| Business Intelligence Analyst, Payments Risk Management This role focuses on business intelligence and data analytics within Payments Risk Management, aiming to enhance risk assessment and monitoring programs by leveraging AI models. The analyst will collect, analyze, and interpret large datasets, develop metrics and dashboards, ensure data integrity, and present insights. While the role uses AI tools and has some AI-related qualifications, its core function is data analysis and business intelligence, not direct AI/ML model development. | — | 5 |
| Integrated Circuit Package Design Engineer Develops physical package substrate designs for Machine Learning (ML) chips, collaborating with cross-functional teams to optimize designs for performance, efficiency, and manufacturability. Manages the design process from feasibility to tape-out, incorporating advanced packaging technologies into the product pipeline. | — | 5 |
