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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.

Auto-generated from active job postings · last refreshed 2026-05-24

Google

Google

Big Tech

Currently tracking 514 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).

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Frequently asked questions

  • What AI roles is Google hiring for?

    Google currently has 607 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), Conversational AI Consultant (2). Most positions are in Engineering and Product.

  • What stage of AI development does Google focus on?

    Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Google hiring AI talent?

    Google is hiring AI talent in: United States (388 roles), India (50 roles), Singapore (43 roles), Poland (23 roles).

  • What skills does Google look for in AI roles?

    Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.

  • How many AI roles has Google posted recently?

    In the past 30 days, Google has posted 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).

Jobs (907)

514 AI · 1512 total active
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ASIC Physical Design Tools, Flows, Methodologies Manager
Manage and lead a team of TFM engineers responsible for the physical design flows that power Google's Tensor Processing Unit (TPU) products. This role involves guiding the team in developing, deploying, and supporting an RTL-to-GDS infrastructure, bridging design engineering and EDA capabilities, and managing priorities to ensure silicon delivery for AI/ML hardware acceleration.
—EngineeringSunnyvale, CA +14w ago5
Senior Software Engineer, TV Systems Performance
Senior Software Engineer focused on performance tuning for TV systems and device ecosystems, optimizing Reference Designs, and partnering with vendors and cross-functional teams. The role involves evolving Gemini-assisted tools for performance analysis and leading evaluations for industry shifts. Requires experience in software development, Android application development, and large-scale systems data analysis.
—EngineeringSan Jose, CA +14w ago5
Engineering Manager, Operations Intelligence, gUP Engineering
501–550 of 907← Prev1…101112…19Next →
Google is seeking an Engineering Manager for their new Operations Intelligence team. This role will build and lead a team focused on automating the content lifecycle using data and automation, including ML/NLP. The manager will define technical strategy, oversee development, and partner with various stakeholders to deliver impactful solutions. The role requires strong software development, technical leadership, and people management experience, with a preference for experience in large-scale data processing and Generative AI.
Ship
Engineering
Pittsburgh, PA +2
4w ago
5
Global Product Lead, Global Business Applied AI
This role is for a Global Product Lead within the Global Business Applied AI (GBAI) organization at Google. The primary focus is on shaping the roadmap and driving the launch of AI-powered solutions for the Connect Sales CRM platform. The role involves representing user needs, prioritizing features based on business cases, documenting requirements, and measuring the business impact of new features. While the role works with AI-powered solutions and analyzes datasets for ML approaches, the core craft is product management and go-to-market strategy for these solutions, rather than direct AI/ML model development.
—ProductMountain View, CA +14w ago5
Software Engineer Manager, Google Global Infrastructure, NetSoft
This role is for a Software Engineering Manager within Google's Global Infrastructure, NetSoft team. The primary focus is on managing engineers and providing technical leadership for projects related to network planning, modeling, simulations, and risk assessment. A key aspect of the role involves enabling AI/ML capabilities to accelerate cloud expansions and improve network operations at a global scale. The role requires experience in large-scale infrastructure, distributed systems, and technical leadership, with a focus on managing teams and driving product strategy.
—EngineeringSunnyvale, CA +14w ago5
Software Engineer III, Embedded Systems, Hearables Audio software
Software Engineer III on the Pixel Hearables Audio Software team, responsible for developing next-generation Google Pixel earbuds. This role involves productizing novel audio algorithms that combine signal processing, acoustics, and machine learning, working with early hardware prototypes to design and implement new features. The position requires contributions to audio system architecture, implementation and integration of audio software for hearable devices and phones, and developing infrastructure to support algorithmic development and scale engagement with research teams. Collaboration with product managers, UX, and hardware counterparts is essential.
ServeEngineeringMountain View, CA +14w ago5
Software Engineering Manager, Merchant Shopping, Agency Growth
Software Engineering Manager for Google's Merchant Shopping, Agency Growth team, focusing on building AI-forward experiences for agencies and leading the development of scalable backend and frontend infrastructure for insights and recommendations. The role involves strategic product direction, team leadership, and cross-functional collaboration to drive success for agencies and merchants.
ShipEngineeringMountain View, CA +15w ago5
Staff Software Engineer, Modelling Infrastructure
Staff Software Engineer to drive design, development, and operational excellence of network and machine modeling infrastructure. This role requires back-end distributed systems expertise and will work closely with partner teams to understand needs and align road-maps for the modeling infrastructure supporting the networking and AI/ML landscape. The AI and Infrastructure team empowers customers with breakthrough capabilities by delivering AI and Infrastructure at scale.
—EngineeringSunnyvale, CA +15w ago5
Senior Staff Software Engineer, Future of Git
Senior Staff Software Engineer role focused on re-architecting Google's Software Development Life Cycle (SDLC) through the Future of Git (FoG) initiative. The role involves transitioning from legacy proprietary systems to industry-standard platforms, creating an AI-first SDLC architecture with agentic orchestration, spec-driven development, and context-aware intelligence. Responsibilities include technical leadership for bridging internal scale with external ecosystems, navigating cloud security governance, and ensuring a compliant-by-default developer experience. The role also involves architectural evolution of Git-based workflows, integrating internal development with external platforms, and migrating legacy tools.
AgentEngineeringSeattle, WA +25w ago5
Regulatory Counsel, Content, Consumer Protection and AI
Legal counsel role focused on AI law, consumer protection, and content regulation, involving interpretation of laws, regulatory engagement, and advising product teams on compliance and risk mitigation.
—ProductAustin, TX +35w ago5
Senior Software Engineer, Infrastructure, High Performance Networking
Senior Software Engineer on the High Performance Networking (HPN) team, focusing on end-to-end RDMA stack ownership. The role involves enhancing network performance for HPC and ML workloads, optimizing RDMA capabilities with next-generation Smart NICs, and performing full-stack optimizations across Google Cloud infrastructure. Responsibilities include writing and testing code, participating in design reviews, code reviews, documentation, and debugging system issues.
—EngineeringNew York, NY +26w ago5
Product Strategy and Operations Lead, AI and Infrastructure
This role is a Product Strategy and Operations Lead within Google's AI and Infrastructure (AI2) organization. The role focuses on driving strategy, operations, and communications to help AI products and infrastructure scale and execute optimally. It involves identifying and solving organizational problems, influencing stakeholders, and establishing operating processes. While the organization powers AI products and research, this specific role is focused on the business and operational aspects rather than direct AI/ML development.
—ProductSunnyvale, CA +26w ago5
Technical Program Manager III, Machine Learning, Search
Technical Program Manager III, Machine Learning, Search at Google. This role involves leading complex, multi-disciplinary engineering projects related to Machine Learning within the Google Search team. Responsibilities include planning requirements, managing schedules, identifying risks, and communicating with cross-functional partners. The role requires understanding ML technologies and their applications, and experience with consumer-facing products and high-quality product delivery.
—ProductMountain View, CA +16w ago5
Strategic Alliance Manager III, Security, Google Cloud
This role is for a Strategic Alliance Manager III on the Google Cloud Security team. The primary focus is on developing and managing strategic partnerships with Managed Security Service Providers, Telcos, GSIs, and Cloud Partners to embed Google's Security suite of products. The role involves collaborating with Sales, Marketing, and Product Management to drive security sales, partner success, and business growth. It requires analyzing market trends, developing recommendations, and understanding partner business strategies. While the role is not directly building AI models, it involves working with AI/ML and cybersecurity solutions within a partner ecosystem.
—ProductAtlanta, GA +37w ago5
Senior Software Engineer, Infrastructure
This role is for a Senior Software Engineer on the Google Compute Engine (GCE) team, focusing on building and optimizing the foundational infrastructure for AI/ML workloads. The engineer will lead the introduction of new VM families, analyze and optimize VM performance, develop software components for reliability and performance, and provide engineering support for existing VM families. The role requires experience with IaaS, large-scale infrastructure, distributed systems, and virtualization, with a focus on supporting the growing demand for AI/ML computing.
—EngineeringSeattle, WA +17w ago5
Product Policy Lead, Generative AI
This role focuses on policy development and recommendations for Generative AI products within Google's Trust & Safety team. The Product Policy Lead will collaborate with product managers and engineers to influence product decisions, drive research in the multimodal Generative AI space, and set industry standards. They will also provide updates to executives and partner with Deepmind on model-level policies. The role requires experience in policy, legal, or trust and safety environments, with a focus on AI-related policy issues.
—ProductNew York, NY +2Apr 235
Software Engineer III, Infrastructure, Google Workspace
This role is for a Software Engineer III on the Google Workspace Infrastructure team, focusing on building AI-powered productivity tools for the future of work. The engineer will write product or system development code, participate in design reviews, review code, contribute to documentation, and triage/debug system issues. The role involves working with AI model builders and impacting billions of users by enhancing products like Gmail, Docs, and Meet with AI capabilities such as pre-computed summaries and AI avatar-generated videos.
ShipEngineeringSunnyvale, CA +1Apr 145
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.
—EngineeringReston, VA +1Mar 105
Software Engineer III, Infrastructure, AI and Infrastructure
Software Engineer III on the AI and Infrastructure team at Google, focusing on building and scaling the infrastructure that powers AI models and services. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires experience in C++, Python, or Go, and large-scale infrastructure/distributed systems. Preferred qualifications include a Master's/PhD, performance analysis, and data structures/algorithms.
ServeEngineeringKirkland, WA +3Nov '255
Software Engineering Manager II, Infrastructure, Google Cloud Compute
This role is for a Software Engineering Manager II on the AI and Infrastructure team within Google Cloud Compute. The manager will lead teams responsible for delivering AI and Infrastructure at scale, supporting Google's AI models and global services. Responsibilities include setting team priorities, developing technical roadmaps, guiding system designs, and managing engineers. The role requires significant experience in software development, large-scale infrastructure, and technical/people leadership.
—EngineeringKirkland, WA +3Oct '255
Software Engineer, PhD, Early Career, Infrastructure, 2026 Start
Google is seeking PhD graduates for Software Engineer roles focusing on developing next-generation technologies. This role involves contributing to large-scale systems across various domains, including AI and Infrastructure, Cloud, and more. The position requires strong software engineering skills, research expertise, and the ability to work on critical projects, potentially switching teams and projects as the business evolves. The role emphasizes versatility, leadership, and problem-solving across the full stack.
—EngineeringSunnyvale, CA +3Aug '255
Senior Software Engineer, Infrastructure, Platforms Infrastructure Engineering
Google is seeking a Senior Software Engineer for their Platforms Infrastructure Engineering team. This role focuses on developing and enhancing large-scale infrastructure, distributed systems, and networks that support Google's AI models and services. The engineer will write and test code, participate in design reviews, review code from peers, contribute to documentation, and triage/debug system issues. The role requires experience in C++, Python, or Go, and a strong background in large-scale infrastructure or distributed systems.
—EngineeringSunnyvale, CA +3Jun '255
Senior Software Engineer, Infrastructure, Google Cloud AI
Google is seeking a Senior Software Engineer to join their AI and Infrastructure team, focusing on delivering AI and Infrastructure at scale. The role involves designing, developing, testing, and maintaining software solutions for large-scale systems, distributed computing, and AI model development platforms. This position requires strong software engineering skills in languages like C++, C, or Python, and experience with infrastructure, distributed systems, or compute technologies.
—EngineeringSunnyvale, CA +3Jan '255
Staff Software Engineering Tech Lead, YouTube Living Room
Lead the development of YouTube experiences for living room devices, focusing on performance optimization and cross-team integration. The role involves technical leadership, mentoring engineers, and leveraging AI tools for development acceleration.
—EngineeringSan Bruno, CA +13w ago1
Software Engineering Manager, Health and Home Infrastructure
Google is seeking a Software Engineering Manager for the Health and Home Infrastructure team. This role involves technical leadership, team management, and contributing to product strategy. The team focuses on scalable and efficient serving and offline infrastructure, developer platforms, APIs, and data services for Home and Health products, with an increasing usage of AI. The manager will optimize performance, improve reliability, reduce costs, ensure high engineering quality, and foster a strong engineering culture.
—EngineeringMountain View, CA +15w ago1
Software Engineer, Colab
This role is for a Software Engineer on the Colab team at Google, focusing on delivering user experiences for data science and machine learning practitioners. The team builds and supports the product's user interface, aiming to create intuitive, scalable, and reliable surfaces for data science problems. They are also responsible for building next-generation, AI-native data science tools on top of the Colab stack. The role involves supporting production services, frontend modernization, collaborating on feature development, and building robust frontend components.
—EngineeringKirkland, WA +1today0
Software Engineer III, Pixel Performance, SoC
Software Engineer III role focused on Pixel device performance, SoC bring-up, power efficiency, and developing algorithms for Android workload efficiency. Requires experience with embedded operating systems and software development.
—EngineeringMountain View, CA +1today0
Network Engineer, Google Distributed Cloud Labs
This role is for a Senior Network Engineer on the Google Distributed Cloud (GDC) Labs team, responsible for architecting, implementing, and maintaining the network infrastructure for GDC products. The role involves leading network projects, solving technical issues, and contributing to lab network designs, with a focus on reliability, security, and efficiency. The engineer will manage core lab network services, design external connectivity, and diagnose complex network issues.
—EngineeringSunnyvale, CA +1today0
Administrative Business Partner, DeepMind (Fixed Term Contract)
Administrative Business Partner for Google DeepMind, a pioneering AI lab. This role supports leadership by managing complex schedules, coordinating travel, streamlining processes, facilitating meetings, and executing events. Requires 3 years of administrative experience.
—ProductMountain View, CA +1today0
Senior Software Engineer, Security/Privacy, Google Cloud Security and Privacy
This role is for a Senior Software Engineer on the Google Cloud Security and Privacy team. The engineer will be responsible for developing, testing, and maintaining software solutions related to security and data privacy within the Google Cloud platform. The role requires experience in programming languages like C++, Java, or Go, and a background in building software for data privacy or security. While AI/ML is mentioned as a broad area of interest for Google's technologies, this specific role focuses on security and privacy engineering within the cloud infrastructure, not on building or deploying AI models.
—EngineeringSeattle, WA +1today0
Software Engineer III, Infrastructure, Google Cloud NetInfra
Software Engineer III on the Google Cloud NetInfra team, focusing on infrastructure that supports AI development and deployment at scale. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires a Bachelor's degree, 2 years of experience in C++, Python, or Go, and 2 years of experience with large-scale infrastructure, distributed systems, networks, or compute technologies. Preferred qualifications include a Master's/PhD, experience with performance analysis, data structures, algorithms, and accessible technologies.
—EngineeringMadison, WI +1today0
Software Engineer III, Hardware/Software Co-Design
Software Engineer III role focused on hardware/software co-design, involving complex problem-solving in hardware acceleration, performance bottlenecks, computer architecture, automation, and machine learning. Responsibilities include designing, developing, testing, deploying, maintaining, and improving software, managing project priorities, and providing end-to-end performance analysis. The role also involves informing research direction based on identified engineering gaps.
—EngineeringSunnyvale, CA +1today0
Executive Business Partner, DeepMind
Executive Business Partner supporting the Chief Strategy Officer at Google DeepMind, focusing on complex calendar management, stakeholder relations, process streamlining, and event execution in a fast-paced AI research environment.
—ProductMountain View, CA +1today0
Senior Connectivity Software Developer, Embedded Systems/Firmware, XR
Develops low-level system software for next-generation Augmented Reality (AR) reference platforms, focusing on the integration, bring-up, and refinement of low-power WiFi and Bluetooth subsystems. Collaborates with cross-functional teams to meet rigorous performance and power KPIs for launching new product categories.
—EngineeringSan Jose, CA +3today0
Senior Engineer Manager, Hyperdisk Inventory Optimization Performance
Manage a team of engineers and other managers to develop and deliver world-leading performance for Google's Hyperdisk family of products, a block storage solution for Google Cloud. This role involves technical leadership, project management, and people management, with a focus on optimizing performance for storage solutions.
—EngineeringKirkland, WA +1today0
Software Engineer, Storage
Software Engineer focused on optimizing the kernel storage stack, Linux drivers, firmware, and user space interfaces for flash storage. The role involves building software solutions for storage security, enhancing end-to-end storage system performance, and developing platform storage analytics infrastructure. Additionally, it includes creating software tools to optimize the repairability and lifecycle of storage devices.
—EngineeringSunnyvale, CA +1yesterday0
Engineering Manager, Confidential Computing Services
This role is for an Engineering Manager at Google Cloud, focusing on Confidential Computing Services. The manager will lead a team responsible for defining strategic goals for confidential computing identity and attestation, influencing designs across Google Cloud Platform, and managing team staffing and development. The role involves navigating cross-functional relationships and partnering with product leadership to define roadmaps. While the company works in areas like AI, this specific role is centered on security, data privacy, and confidential computing within the cloud infrastructure, not direct AI/ML model development or deployment.
—EngineeringSeattle, WA +1yesterday0
Data Center Operations Manager (Night Shift)
This role manages a team responsible for the physical infrastructure of Google's data centers, including installation, configuration, testing, troubleshooting, and maintenance of hardware and server software. The role involves leading technical teams, ensuring operational procedures, and supporting compliance programs. While the role is within a company heavily involved in AI, the core responsibilities are focused on infrastructure management rather than direct AI/ML model development or deployment.
—EngineeringPryor Creek, OKyesterday0
Software Engineer III, Home Infrastructure
Software Engineer III at Google working on Home Infrastructure, developing next-generation technologies that change how billions of users interact with information. The role involves managing project priorities, designing, developing, testing, deploying, maintaining, and enhancing software solutions. Responsibilities include writing product/system development code, participating in design reviews, code reviews, contributing to documentation, and triaging/debugging system issues. Requires a Bachelor's degree or equivalent experience in C++, Java, or Python, and experience with large-scale infrastructure, distributed systems, or networks.
—EngineeringLos Angeles, CA +1yesterday0
Software Engineer, EngProd, GeminiApp, DeepMind
Software Engineer role focused on engineering productivity within the GeminiApp team at Google DeepMind. The role involves designing, building, and deploying infrastructure, frameworks, and environments to optimize the developer-to-production release journey, improve build and release pipelines, and lead test automation efforts. Collaboration with product, design, and research teams is key to translating requirements into technical solutions. The position requires a Bachelor's degree in Computer Science or equivalent experience, with significant experience in software development, testing, launching products, and software design/architecture. Preferred qualifications include experience with continuous testing, integration, and program management.
—EngineeringMountain View, CA +1yesterday0
Senior Embedded Software Engineer, Pixel Core USB
Senior Embedded Software Engineer for Pixel Core USB, focusing on developing Linux kernel drivers, HAL, and Android framework layers for USB connectivity and charging. This role involves full-stack Android system software development, from the Linux kernel to hardware interaction, aiming to improve user experience and ensure port health and reliability.
—EngineeringMountain View, CA +1yesterday0
Ads Solutions Engineer
Google's gTech Professional Services team is seeking an Ad Solutions Engineer to build and scale tools, platforms, and solutions for strategic LCS partners. This role involves designing and implementing complex, cross-product customized solutions, providing technical guidance, and troubleshooting issues to help agencies and partners achieve their business goals.
—EngineeringNew York, NY +1yesterday0
Staff Software Engineer, Cloud Platforms Infrastructure
This role is for a Staff Software Engineer on the AI and Infrastructure team at Google, focusing on building and scaling the platforms that power Google's AI models and global services. The role involves technical leadership, influencing teams, and designing, developing, and maintaining large-scale software solutions. While the team works with AI, the core responsibilities are in software engineering and infrastructure, not direct AI/ML model development.
—EngineeringSunnyvale, CA +1yesterday0
Software Engineer Manager II, Slicer
Manage a team of engineers to build and optimize Slicer, Google's autosharder for partitioning application state over compute infrastructure. This foundational infrastructure handles billions of requests per second and is critical for many Google services and Cloud products. The role involves technical leadership, project management, product strategy, and people management.
—EngineeringKirkland, WA +1yesterday0
Commercial Manager, North American Deal Pursuit Organization
This role is part of Google's Global Deal Pursuit team, which supports Cloud Go-to-Market objectives by addressing customer needs, winning workloads, and supporting pre-GA offerings. The team provides custom and standard enablement for Google Customer Solutions (GCS) sales teams, acting as trusted advisors to small and medium-sized businesses. The Commercial Manager will execute critical agreement negotiations, structure agreement strategy, solve complex issues with Subject Matter Expertise on Google Cloud Platform (GCP), foster knowledge growth, develop targeted solutions, and drive process improvements.
—ProductSunnyvale, CA +3yesterday0
Staff Storage Software Engineer, Solid State Drive Performance
This role focuses on the performance of Solid State Drives (SSDs) within Google's storage infrastructure. Responsibilities include designing, developing, and optimizing software solutions like kernel storage stacks, Linux drivers, and firmware. The role involves end-to-end performance management, technical leadership, and innovation in systems software for flash memory. While the company mentions AI and AI infrastructure, this specific role is centered on the underlying storage hardware and software performance, not direct AI/ML model development or deployment.
—EngineeringSunnyvale, CA +1yesterday0
Software Engineer III, Full Stack, Platforms and Devices
Software Engineer III, Full Stack, Platforms and Devices at Google. This role involves developing next-generation technologies for Google's computing software platforms and first-party devices, focusing on making user interactions faster and more seamless. Responsibilities include writing product/system development code, participating in design reviews, code reviews, contributing to documentation, and triaging/debugging system issues. Requires a Bachelor's degree or equivalent experience, with experience in full stack development and programming languages like Java, Python, Golang, or C++.
—EngineeringSeattle, WA +1yesterday0
Staff Software Engineer, Firmware, ARM SoCs
Staff Software Engineer focused on firmware development for ARM SoCs, involving architecture, design, and full lifecycle management. The role requires technical leadership, mentorship, and collaboration with cross-functional teams to drive innovation in SoC and server architecture. Experience with C/C++, embedded systems, and Linux kernel drivers is essential.
—EngineeringSunnyvale, CA +12d ago0
Associate Product Marketing Manager
Associate Product Marketing Manager role within Google's APMM program, focusing on marketing projects, developing marketing skills, and supporting business goals through go-to-market strategies, customer acquisition, and campaign execution. The role involves understanding user needs, developing messaging, and contributing to product launches.
—ProductSan Francisco, CA +32d ago0
Production Set Designer, Robotics, DeepMind
This role focuses on the production and staging of robotic data collection environments, involving set design, logistics, and coordination between research and engineering teams. It emphasizes optimizing environments for data capture and ensuring safe robotic operations within R&D settings.
—EngineeringMountain View, CA +12d ago0