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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This role is for a Hardware Validation Engineer supporting end-to-end testing for machine learning hardware in Google's data centers. The engineer will plan and execute tests, interface with design engineers, analyze results, and report bugs. The role involves using lab equipment for electrical, functional, performance, and reliability testing.

Software Engineer III, Infrastructure, Cloud AI at Google to improve the XLA compiler stack for ML models on TPU, GPU, and CPU hardware. Focus on enhancing compiler stability, usability, and productionizing integration with ML frameworks, supporting internal ML teams and Google Cloud offerings.

Google is seeking a Software Engineer III to work on AI-powered features for Google Workspace. The role involves developing next-generation technologies that enhance productivity tools like Gmail, Docs, and Meet, with a focus on building future AI capabilities. The engineer will collaborate with AI model builders and impact billions of users globally.

Product Manager for Google Cloud, focusing on enterprise AI and infrastructure. This role involves driving product strategy, defining and delivering cloud services, and developing product solutions for the enterprise market. The position is within the AI and Infrastructure team, which aims to empower customers with AI capabilities at scale.

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.

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.

Product Manager for Generative AI on Google Cloud Platform, focusing on developing and launching AI-driven experiences and solutions. The role involves leading product roadmaps, collaborating with engineering and design teams, and staying updated on the latest Generative AI technologies to evolve product offerings and solve critical business problems for enterprise customers.

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.

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.

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.

This role is a Technical Solutions Consultant at Google Cloud, focusing on advising customers on cloud solution implementations. While it involves some experience with model deployment and fine-tuning, its core function is customer-facing technical consulting and solution architecture, not direct AI/ML model development or research.

iOS Software Engineer for the Search team in Google Photos, building user experiences for over a billion users. Focuses on client-side development, modernizing codebases, and enabling feature launches.

Senior Software Engineer focused on performance tuning and optimization for TV systems and devices. The role involves leading performance tuning for partner launches, optimizing reference designs, evolving Gemini-assisted tools for performance analysis, evaluating industry shifts, and collaborating with hardware providers and cross-functional teams for system-level optimizations. Requires experience in software development, Android application development, and performance/large-scale systems data analysis.

Google is seeking an Engineering Manager for their Persistent Disk (IO Platform) team. This role involves managing a team of 10+ engineers, leading the design and deployment of a scalable PD IO stack, and collaborating with cross-functional leaders. The team works on distributed system problems in storage and networking for Google Cloud products, affecting millions of users and managing exabytes of data. The role requires technical leadership and people management experience, with a focus on solving hard performance and distributed system challenges using cutting-edge technologies.

Senior Software Engineering Manager at YouTube, responsible for leading teams of engineers, setting technical vision, contributing to product strategy, and overseeing large-scale project deployment. The role involves technical leadership, people management, and ensuring code quality and optimization across multiple teams.

Google is seeking a Senior Staff Software Engineer for Google Cloud to develop next-generation technologies. This role involves providing technical leadership, influencing and coaching engineers, managing project priorities, and designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. The position requires extensive experience in software development, infrastructure, distributed systems, and software product design and launch.

Manage a team of software engineers focused on security and privacy within Google Cloud, specifically in the area of confidential computing. The role involves technical leadership, people management, strategic vision setting, and influencing industry landscape through partnerships. The team delivers advanced software features and hardware support for CPUs and GPUs, focusing on core attestation capabilities for isolated environments.

Software Engineer III, Mobile (iOS) role at Google YouTube, focusing on developing and enhancing mobile applications. Responsibilities include writing product code, code reviews, debugging, and participating in design reviews. Requires experience in C++, Objective-C/Swift, and iOS development.

This role is for a People Partner at Google DeepMind, focusing on HR business partnering for the GeminiApp team. The responsibilities include driving business strategy, delivering HR solutions, coaching leaders, and acting with judgment in a dynamic environment. Qualifications include a Bachelor's degree and significant HR experience.

Manager for Compute Resource Management within the Platforms and Devices Product Area, focusing on demand signaling, allocation, and utilization of compute resources for product groups including Android, Chrome, and AI innovation. The role involves executing technical initiatives for machine resource planning, operational programs, metrics collection, and rolling out new tools and capabilities, collaborating with various cross-functional teams.

Software Engineer III, Infrastructure, Google Cloud Networking at Google. This role focuses on delivering reliable, efficient, and high-performance end-to-end network communication stacks for distributed systems. Responsibilities include writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires a Bachelor's degree and 2 years of experience in C++ and large-scale infrastructure, distributed systems, or networking.

Software Engineer III, Infrastructure, Google Cloud Platforms role focused on developing and maintaining Google's planet-scale object storage system, GCS, which serves as a foundational data platform for AI workloads. Responsibilities include writing product/system development code, participating in design reviews, code reviews, contributing to documentation, and triaging/debugging system issues. Requires 2 years of experience in C++ and large-scale infrastructure/distributed systems/networks or compute/cloud storage.

Staff Software Engineer for Google Cloud Networking, focusing on developing and enhancing large-scale software solutions. The role involves technical leadership, project management, and influencing engineering teams. Requires extensive experience in software development, infrastructure, distributed systems, and software architecture.

Google Cloud is seeking a Senior Software Engineer to join the Google Distributed Cloud team. This role focuses on defining and executing the technical roadmap for integrating, validating, and optimizing third-party enterprise applications on Google Distributed Cloud, particularly in secure, disconnected, and highly constrained environments. The engineer will collaborate with Product Management and partner teams to deliver solutions that extend AI-powered innovation to customer workloads, ensuring security, reliability, performance, and manageability.

Senior Staff Software Engineer role focused on Kernel Security and Virtualization at Google, responsible for securing the foundation of Google's production platform. The role involves pioneering architecture for next-generation isolation frameworks, driving cross-company strategy for hardening core compute infrastructure, and leading responses to critical vulnerabilities. It requires deep expertise in low-level systems security and technical leadership.

Software Engineer role focused on developing and managing software for Google's global data center cooling infrastructure, ensuring efficiency and reliability. The role involves technical leadership, influencing teams, and designing/implementing software for cooling device management, with a strong emphasis on C++ and distributed systems.

Software Engineer role focused on optimizing power and thermal management for modem software in Google Pixel devices. Responsibilities include developing Android services, power/thermal algorithms, debugging issues, and collaborating with vendors. Requires experience in Java, Android development, and ideally power/thermal or cellular modem software development.

This role focuses on applying advanced analytics, data science, and machine learning techniques to solve business challenges in marketing and growth for Google's consumer products. The data scientist will be responsible for data infrastructure, user segmentation, experimentation, and media measurement, translating business problems into data-driven solutions and communicating insights to executives.

Senior Software Engineer role focused on integrating the Google Photos Android application with the Photos XR immersive application, bridging traditional gallery experiences with spatial computing. The role involves leading feature design, API development, and architectural changes, acting as a technical liaison between teams, and resolving complex technical issues at the intersection of Android and XR platforms.

Software Engineer role focused on developing and operating a managed cloud service for Apache Spark, enabling users to run data analytics and machine learning workloads efficiently in the cloud. The role involves designing and implementing features for ease of use, efficiency, high-availability, and fault-tolerance in cluster orchestration and resource provisioning.