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 526 active AI roles, with 1251 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $234k).
Google currently has 612 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), AI Outcome Customer Engineer, Forward Deployed Engineering (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (44%), serving infrastructure (25%), application (18%). 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 (383 roles), India (51 roles), Singapore (43 roles), Poland (26 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 599 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer III, Full Stack, Shopping on Gemini Software Engineer III, Full Stack, Shopping on Gemini at Google in Zurich, Switzerland. This role focuses on building innovative consumer experiences for Shopping within Gemini, leveraging GenAI advancements. Responsibilities include full-stack development, code reviews, debugging, and contributing to documentation. Requires a Bachelor's degree, 2 years of software development experience, 2 years of full-stack experience, and 1 year of data analysis experience. Preferred qualifications include experience building LLM-based applications and managing feature development. | Agent | 5 |
| Tech Lead, Software Engineering, Search Ads, AQI DevAI This role focuses on enabling agentic development within the Search Ads domain by identifying and resolving infrastructure hurdles, creating new agentic workflows, and providing guidance and support to development teams. The role involves leading a virtual team and collaborating with various infrastructure and DevAI groups. |
| Agent |
| 5 |
| Engineering Analyst, Trust and Safety This role focuses on managing and mitigating payment fraud and abuse for Google products, investigating incidents, performing statistical analysis, and collaborating with engineering teams to enhance tools and systems. It involves assessing product risk, designing mitigation strategies, and working with cross-functional teams to launch solutions. While it uses ML systems and has preferred qualifications in ML/LLMs, the core function is risk management and fraud prevention, not direct AI model development. | — | 5 |
| Senior Staff Software Engineer, Serverless This role is for a Senior Staff Software Engineer on the Google Cloud Run Serverless platform team. The primary focus is on providing technical leadership and overseeing the architectural strategy for core back-end services, with an emphasis on the data plane to support evolving AI workloads and agents. The role involves influencing and coaching engineers, driving operational excellence, and collaborating with leadership on long-term goals for stack modernization and platform sustainability. While the role supports AI workloads, it is not directly building AI models or agents, but rather the underlying infrastructure. | — | 5 |
| Staff Software Engineer, Ads Campaign Automation (Mandarin) Staff Software Engineer role at Google focused on Ads Campaign Automation, leveraging Generative AI for asset generation and optimizing ad serving, bidding, and retrieval systems. Requires strong experience in ads buying platforms, large-scale distributed systems, and the Google ads ecosystem, with fluency in Mandarin for regional collaboration. | Ship | 5 |
| Staff Software Engineer, Full Stack, Google One Staff Software Engineer, Full Stack for Google One, a subscription service that combines cloud storage with AI features. The role involves technical leadership, roadmap definition, architecture, and contributing to AI business generation goals by prototyping and launching new subscription experiences. | — | 5 |
| Silicon Validation Lead, AI/ML, Google Cloud, TPU This role is for a Silicon Validation Lead focused on AI/ML hardware acceleration, specifically Tensor Processing Units (TPUs). The lead will manage a team responsible for the post-silicon validation of AI/ML SoCs, ensuring timely bring-up, enablement, and debug. The role involves close collaboration with various engineering teams (architecture, design, verification, firmware, software, platform) and people management responsibilities. | — | 5 |
| Software Engineering PhD Intern, Summer 2026 This is a PhD intern role focused on developing and maintaining the end-to-end infrastructure for AI-integrated software and large-scale systems at Google. The intern will work on complex computer science solutions and scalable, distributed software systems. | Serve | 5 |
| Product Manager, Cloud Database Product Manager for Google Cloud's AlloyDB for PostgreSQL portfolio, focusing on driving AI product strategy and roadmaps, engaging with customers, and partnering with engineering and research teams to launch and improve database services. | — | 5 |
| Customer Engineer III, National Security Customer Engineer III for Google Cloud in the federal public sector, focusing on technical sales support, solution architecture, and customer engagement. The role involves understanding customer needs, demonstrating Google Cloud capabilities, and addressing technical challenges, with a specific requirement for experience in designing and deploying solutions that integrate generative AI and knowledge of cloud compliance requirements like FedRAMP and CMMC. | — | 5 |
| Staff Software Engineer, Continuous Fleet Transformation and Optimization Staff Software Engineer at Google Cloud focused on optimizing fleet transformation and operations using ML-powered simulations and discrete algorithms. The role involves migrating from MIP models to ML for predictive, self-governing systems, designing simulation engines, and guiding automated policy enforcement for AI/ML compute needs. | Serve | 5 |
| Software Engineer, Fleet Analytics, PhD, Early Career, 2026 This role is for a PhD Software Engineer focused on Fleet Analytics within Google Cloud's AI and Infrastructure organization. The role involves designing, developing, and maintaining software solutions, with a focus on advanced optimization models. While the organization works with AI/ML systems, this specific role's primary output is optimization models and platform capabilities, not direct AI/ML model development or deployment. | — | 5 |
| Engineering Manager, AI/ML Networking Manage a team developing next-generation AI/ML networking solutions and Smart NICs, focusing on the hardware-software interface for AI training and inference transport layers, and dataplane encryption. The role involves leading software development in C++ for these solutions, aligning strategy, and ensuring projects move from development to production. | — | 5 |
| Senior Design Verification Engineer, TPU, Google Cloud This role focuses on the verification of AI/ML hardware accelerators (TPUs) for Google Cloud. The engineer will be responsible for the full verification life-cycle, ensuring the reliability and performance of AI/ML workloads on TPU hardware. This involves creating verification environments, identifying coverage measures, debugging, and collaborating with design engineers. While the role is deeply involved with AI/ML hardware, the core craft is hardware verification engineering, not AI/ML model development or research. | — | 5 |
| Mobile Android Engineering Manager, Google Home Growth Engineering Manager for Google Home Growth, focusing on hardware, software, and AI to grow the subscription business. Responsibilities include setting team priorities, managing engineers, developing technical roadmaps, guiding system designs, and reviewing code. Requires experience in software development, Android development, and technical/people management. | — | 5 |
| Senior Product Manager, Cloud Database Senior Product Manager for Google Cloud's AlloyDB for PostgreSQL portfolio, focusing on driving product strategy, roadmap, and integration with AI capabilities within the database and broader Google Cloud ecosystem. This role involves customer engagement, cross-functional collaboration with engineering and research, and defining data-driven metrics to improve developer experience. | — | 5 |
| Software Engineer Manager, Google Global Infrastructure, NetSoft Software Engineering Manager for Google Global Infrastructure, NetSoft team. This role involves managing engineers, providing technical leadership, and contributing to product strategy. The team's mission is to enable agile planning, optimized design, and rapid deployment for Google's networks. The role will work on software systems for network planning, modeling, simulations, and risk assessment, with a focus on enabling AI/ML and Cloud expansions at scale. | — | 5 |
| Senior Software Engineering Manager, Dataproc, Google Cloud Senior Software Engineering Manager for Google Cloud Dataproc, responsible for building an AI-ready platform with GPU support and integrating AI/ML/Data Science workloads. The role involves leading engineering teams, architecting data lakehouse solutions, and fostering innovation in distributed systems and open-source technologies. | Serve | 5 |
| Security Engineer, Enterprise Security AI This role focuses on enterprise security for AI products, specifically assessing and securing AI agents and features. The engineer will develop threat models, implement guardrails, and advise on mitigating risks associated with AI use within Google's products and third-party AI products. | Agent | 5 |
| Engineering Manager, Sharing and Groups AI This role is for an Engineering Manager to lead teams focused on sharing infrastructure and UI primitives that integrate AI experiences, particularly for products like Gemini. The manager will own strategy, technical roadmaps, and people management, ensuring architectural decisions align with organizational priorities and leveraging AI/ML tools to enhance team velocity. The focus is on shipping AI-powered user experiences and driving adoption through sharing features. | Ship | 5 |
| Senior Staff Software Engineer, Local Ads Senior Staff Software Engineer role focused on Google's Local Ads product, aiming to improve user experience and advertiser ROI. Responsibilities include identifying business opportunities, leading product design and development, and designing experiments. Requires experience in software development, system design, and online advertising platforms, with a focus on data analytics, statistical modeling, and machine learning. | — | 5 |
| Software Engineering Manager, Switch Infrastructure Google is seeking a Software Engineering Manager for their Switch Infrastructure team in Bengaluru, India. This role involves leading and mentoring a team of engineers responsible for the testing and validation of Google's network switch hardware and software. The team's work is critical for supporting all major Google services, including AI/ML infrastructure like Gemini, and focuses on advancing network infrastructure for scalability, agility, reliability, and innovation. The manager will define strategy, drive execution, collaborate with cross-functional teams, and foster a culture of engineering excellence. Minimum qualifications include a Bachelor's degree, 8 years of software engineering/test automation/network engineering experience, experience with Ethernet switches, C++/Python development, team leadership, and data center networking. | — | 5 |
| AI Sales Specialist Manager, Google Cloud (Korean, English) This role is for an AI Sales Specialist Manager at Google Cloud, focusing on growing the AI business by building and expanding customer relationships. The manager will lead a team, work cross-functionally with internal stakeholders, and ensure the team has the skills to demonstrate product functionality and business use cases to close deals. The role involves executing Go-To-Market strategies, identifying AI use cases, and coaching the team to drive AI bookings and business growth. | — | 5 |
| Tech Lead, YouTube Main App Services Tech Lead for YouTube's core server infrastructure, responsible for technical strategy, leading an engineering team in architecting high-performance solutions, and innovating with machine learning for personalized viewer experiences. | Ship | 5 |
| Software Engineer, PhD, Performance, Reliability, Observability, Early Careers Software Engineer role focused on developing debugging, profiling, and analytics tools for Google Cloud. The role involves working with large-scale systems and exploring the use of machine learning for anomaly detection in cloud control plane systems. | — | 5 |
| Technical Solutions Engineer, Data and AI (Japanese, English) Technical Solutions Engineer for Google Cloud's Data Analytics and AI/ML services, focusing on troubleshooting and resolving customer-reported issues. Requires strong technical skills in data, AI/ML, and coding, with fluency in Japanese and English. | Serve | 5 |
| Business Intelligence Developer (English) This role focuses on Business Intelligence for Google Cloud Finance, involving data modeling, pipeline development, and dashboard creation. While it mentions applied data science, building models, and statistical/ML techniques, the core function is BI and financial reporting infrastructure, not the direct development or deployment of AI/ML models as a primary deliverable. The role aims to enable decision-making through data analysis and automation within a financial context. | — | 5 |
| Research Data Scientist, Brand Advertising, YouTube Ads This role focuses on building optimization solutions for brand advertising on YouTube, leveraging quantitative methods like operations research, game theory, statistics, and machine learning. The responsibilities include identifying business questions, designing and evaluating models, data gathering and validation, and collaborating with engineers and project managers to launch data-driven analyses into production. The role requires experience in online marketplace design, adtech, and causal inference. | — | 5 |
| Engineering Manager, Operations Intelligence, gUP Engineering Engineering Manager for Operations Intelligence team, focused on building and leading a team to design, develop, and maintain systems and platforms that automate content life-cycle using data and automation, including ML/NLP and Generative AI. | Ship | 5 |
| Software Engineer, Cloud HPC and Accelerator Networking Software Engineer role focused on the networking stack for Google Cloud's GPU, TPU, and HPC virtual machines. The role involves designing, developing, and delivering high-performance, reliable networking for customers training AI models and running demanding HPC workloads. This includes technical leadership, cross-team alignment, and enhancing large-scale software solutions for accelerator machines. | — | 5 |
| Policy Enforcement Manager, YouTube Partner Program This role is a Policy Enforcement Manager for YouTube's Partner Program, focusing on strategy, operationalizing scalable policies, and mitigating brand risk. It involves working with cross-functional teams, reviewing sensitive content, and utilizing GenAI tools for abuse mitigation and enforcement. The role requires experience with LLMs in operations and SQL. | — | 5 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application for both iPhone and Android, including its backend systems. The role involves full-stack development, architectural decisions, and driving innovation within the mobile offerings. While the company works on AI research, this specific role is centered on the application layer and integration of existing Google technologies for enterprise customers. | — | 5 |
| Software Engineer Manager II, Machine Management This role is for a Software Engineering Manager II at Google, focusing on Machine Management within the AI and Infrastructure team. The manager will lead engineers, set team priorities, develop technical roadmaps, guide system designs, and review code. The role involves managing multiple teams and a large product budget, overseeing large-scale projects, and contributing to product strategy. While the team works with AI and ML models, the core responsibility of this management role is not direct AI/ML development but rather the infrastructure and systems that support it. | — | 5 |
| Developer Advocate, Cloud AI (English, Japanese) Drive strategy around fostering a community of developers who work with Google AI technologies. Advocate for developers' needs internally and represent their interests to internal stakeholders. Write sample code and client libraries, participate in developer forums, and troubleshoot coding problems. Improve products by conveying feedback from developers, reviewing API designs, and testing new features. | — | 5 |
| Software Engineering Manager, Client Infrastructure, Google Workspace Google is seeking a Software Engineering Manager for their Client Infrastructure team within Google Workspace. This role involves technical leadership, team management, and contributing to product strategy for a cloud-based productivity suite used by over 2 billion users. The team focuses on building integrations between Google Workspace products, particularly Google Chat, and leveraging AI to enhance productivity tools like email summaries, meeting summaries, and AI avatars. The manager will work with AI model builders and impact billions of users globally. | — | 5 |
| Software Engineer III, Business Mobile App, Google Pay Software Engineer III for Google Pay's Business Mobile App, focusing on empowering SMBs with digital presence and growth tools. The role involves designing, developing, and maintaining mobile software using Flutter, collaborating with cross-functional teams, and leveraging AI tools to improve development workflows. The team aims to make payments simple, seamless, and secure. | — | 5 |
| Staff Software Engineer, Mobile (Android), Photos Staff Software Engineer for Google Photos, focusing on mobile (Android) development. The role involves defining technical direction, collaborating on video editing features, improving software components, and debugging. While the core is mobile engineering, it touches on machine intelligence, computer vision, and LLMs within the context of a mature consumer product. | Ship | 5 |
| Strategic Partner Development Lead, Education This role focuses on developing and executing partnership strategies to drive the adoption of Gemini for Education at universities and colleges. The individual will build and nurture an ecosystem of partners, act as an executive leader for Gemini in the academic community, and provide partner feedback to shape the product roadmap and scaling playbook. | — | 5 |
| Staff Software Engineering, Google Distributed Cloud Hosted Staff Software Engineer for Google Distributed Cloud Hosted (GDCag), focusing on building a scalable platform for air-gapped environments. The role involves defining and implementing Agentic AI opportunities for fault remediation, influencing security architecture, and collaborating with various teams to deliver the GDCag software stack. Requires extensive experience in software development, large-scale infrastructure, distributed systems, and cloud environments, with a focus on security and operational efficiency. | Agent | 5 |
| Senior UX Designer, Future of AI, Envisioning Studio Senior UX Designer focused on the future of AI, specifically creativity and learning tools. This role involves leading the end-to-end design of next-generation AI products, transforming emerging AI research into tangible prototypes, and influencing product roadmaps. The position requires experience bringing generative AI-powered products to market and collaborating with cross-functional teams. | — | 5 |
| Senior UX Designer, Health Devices Senior UX Designer for Google's Health Devices team, focusing on Fitbit trackers and other wearables. The role involves designing user interfaces and experiences that transform health data into personalized narratives and actionable guidance, leveraging AI to create hyper-personal health solutions. Collaboration with Product Management, Engineering, and UX Researchers is key. | — | 5 |
| Senior Software Engineer, AI and Infrastructure Senior Software Engineer role focused on AI and Infrastructure at Google, working on developing and scaling AI capabilities and underlying infrastructure. The role involves designing, developing, testing, and deploying software solutions that handle massive scale and support Google's AI innovations, including TPUs and Vertex AI. | Serve | 5 |
| Software Engineer, Shopping Quality Software Engineer role focused on improving data quality for LLMs within Google's Shopping Quality team. Responsibilities include writing code, design reviews, code reviews, documentation, and debugging. Requires experience with LLM data quality and preferred experience with ML models, data pipelines, and feature engineering. | Data | 5 |
| Product Data Scientist, FOP Optimization Product Data Scientist role focused on optimizing Google's Payments products and solutions, specifically the Smart Router infrastructure which uses ML/AI for transaction processing. The role involves driving analytics for FOP optimization, influencing strategy, and collaborating with product and engineering teams to improve buyflows and conversion rates on platforms like Play and YouTube. | Ship | 5 |
| Security Software Engineer, Emerging On-prem AI infrastructure This role is for a Security Software Engineer focused on emerging on-prem AI infrastructure at Google. The engineer will work on operating system and hardware security features, design security solutions, and review code. While the role is within an AI-focused team and supports AI model development, the core responsibilities are in security engineering for infrastructure, not direct AI/ML model building or research. | — | 5 |
| Engineering Analyst, Trust and Safety Ads Account Entry This role focuses on identifying and addressing threats against Google Ads accounts, specifically in hijacking and scaled abuse. The analyst will use investigative, technical, and security skills to solve complex problems at scale, working closely with Engineering and Product teams to adapt defenses against new threat vectors. Responsibilities include delivering insights into account takeover threats, developing early warning alerts, leading incident responses, and collaborating with vendors to scale protection. The role also involves building, leveraging, and evaluating models and operations to combat cyber security and abuse issues. | — | 5 |
| Staff Research Data Scientist, Search Ads AI Monetization This role focuses on applying AI/ML and analytics to solve product and business problems within Google Ads, specifically for AI Monetization. The individual will collaborate with stakeholders, design and evaluate models, gather data, and ensure data quality for analysis. The role requires experience with analytics, AI/ML technologies, and consumer-facing products, with a strong emphasis on quantitative skills and data manipulation. | Ship | 5 |
| Senior Technical Program Manager II, Machine Learning, Google Cloud Google is seeking a Senior Technical Program Manager II for their Machine Learning team within Google Cloud. This role focuses on managing complex, multi-disciplinary projects related to AI and Infrastructure at scale, empowering customers with breakthrough capabilities. The TPM will lead strategic planning, drive program performance, and act as a change advocate, working with cross-functional teams to deliver AI and infrastructure solutions. | — | 5 |
| Senior Product Manager, Google Cloud Senior Product Manager for Google Cloud, focusing on enterprise solutions and AI/ML integration. The role involves driving product strategy, launching new products, and collaborating with cross-functional teams to deliver cloud services and solutions to the enterprise market. | — | 5 |
| Software Engineer, Performance, Reliability, Observability, PhD, Early Careers Software Engineer role focused on performance, reliability, and observability tools for Google Cloud. Explores using ML for anomaly detection in control plane systems. Requires a PhD and experience in software development, large-scale infrastructure, and distributed systems. Experience with data analysis, big data, or machine learning is preferred. | — | 5 |