Manager for a Forward Deployed Engineering team focused on Generative AI within Google Cloud. The role involves leading AI/ML engineers to integrate AI products into customer production environments, providing technical mentorship, managing strategic alignment, and resolving production obstacles related to data, integration, and state management. Responsibilities include establishing engineering standards, partnering with sales, leading technical hiring, identifying skill gaps in emerging AI tech, and translating field insights into product roadmaps. The team deploys experts to key accounts and builds internal tools for efficiency. The role requires experience in developing AI/GenAI solutions, designing multi-agent workflows and RAG systems, and architecting AI solutions with a focus on data sovereignty, governance, and user trust through transparent and explainable interfaces. Experience in designing secure, observable multi-agent systems with state management and tool-calling protocols is also key.

Senior Staff Software Engineer focused on AI/ML Security for Google Cloud, specifically on securing LLMs against threats like prompt injection and data exfiltration. The role involves defining technical strategy, designing and implementing scalable systems, influencing security roadmaps across Google, and resolving technical disagreements. It requires experience in ML infrastructure, AI model security, and delivering enterprise-grade security products.

Senior Staff Software Engineer focused on building and scaling infrastructure for Generative AI agents, including LLMs and Multi-Modal models. The role involves leading technical strategy, designing and implementing large-scale ML infrastructure, and overseeing the deployment and maintenance of these solutions.

This role focuses on improving the quality of data used for training Machine Learning models, particularly Large Language Models (LLMs). The responsibilities include analyzing large datasets, defining data quality metrics, researching methods to enhance data quality, and influencing product direction through data insights. The role requires significant experience in data analysis and a background in quantitative fields.

Product Manager role focused on defining and leading the product strategy for user interaction with AI, specifically integrating LLM capabilities into products like intelligent assistants. The role involves defining roadmaps, prioritizing requirements, leading cross-functional teams, driving go-to-market strategies, and staying knowledgeable about advanced AI technologies and their emerging capabilities. Experience with AI model evaluation and user perspectives for AI products is preferred.

Software Engineer, Applied AI at Google, focusing on developing and deploying production-grade AI agents for business growth. The role involves executing experiments, managing the full lifecycle of AI agent code (prompt engineering, fine-tuning, CI/CD, monitoring), and working with cross-functional teams. Experience with speech/audio, reinforcement learning, or ML infrastructure is required, with preferred experience in LLM orchestration, RAG, and model evaluation.

Senior Software Engineer role focused on implementing Generative AI, LLMs, and Agent-based systems for enterprise applications on Google Cloud Platform, leveraging MLOps practices. Requires experience with GenAI techniques, LLMs, Multi-Modal, Large Vision Models, and Agent Development Kit (ADK).

Technical Program Manager to drive strategy and execution for AI agent initiatives transforming the software development lifecycle. This role involves leading complex, cross-functional programs at the intersection of AI and product, focusing on democratizing app creation and building a virtual software engineering workforce. Requires navigating ambiguity from 0-to-1 product phases and partnering with various Google teams to bring self-sustaining agents to life.

Role focuses on taking conversational AI prototypes and transforming them into production-ready agentic workflows for enterprise customers. Responsibilities include architecting conversational flows, building evaluation pipelines and observability frameworks for agents, and collaborating with customer engineering teams. Requires experience in Python, AI systems on cloud platforms, full-stack development, and conversational agent frameworks.

Software Engineer III at Google Ads focusing on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with core GenAI concepts like LLMs, Multi-Modal, and Large Vision Models, and generation across text, image, video, or audio.

Staff Software Engineer at Google working on Agent Assist, a Generative AI product for customer experience. The role involves building foundational infrastructure and capabilities for companion AI agents that can reason, use tools, and automate complex tasks at scale, leveraging the latest Agentic AI technologies. The position is focused on developing scalable infrastructure and advanced GenAI features for a core pillar of Gemini Enterprise.

The Forward Deployed Full Stack Group Product Manager will embed with strategic partner teams to co-build production-ready AI agents and ML efficiency solutions. This hybrid role combines product engineering and orchestration, using AI-native tools and agentic engineering to rapidly prototype and deliver bespoke, high-impact solutions in high-velocity environments.

Staff Software Engineer focused on building and optimizing on-device ML infrastructure for Google's flagship products, enabling the deployment of models like Gemini Nano and Gemma across various hardware accelerators on Android, Chrome, and more. The role involves creating roadmaps for developer-facing APIs/SDKs, solving complex performance optimization problems for Generative AI on heterogeneous hardware, designing resilient systems, and coordinating efforts across multiple internal teams.

Senior Software Engineer, AI/ML, Search Growth at Google. This role focuses on designing and deploying advanced AI/ML models, building associated training and monitoring systems, and optimizing model performance for low-latency environments within Google Search's growth ecosystem. The position involves leveraging multi-modal embeddings and LLM-generated user profiles, designing A/B tests, and building infrastructure for hyper-personalized LLM prompts in a new AI Mode.

This role is for a Software Engineering Manager in Google's BigQuery Analytics AI organization, focusing on building agentic solutions and developer experiences for the data lifecycle. The manager will lead a team in designing and developing next-generation agentic solutions, including agents, skills, and tools for data ingestion, pipelines, feature extraction, and model training. Key responsibilities include developing the technical roadmap, collaborating cross-functionally, and iterating on agentic frameworks with sophisticated tool-use, memory, context retrieval, multi-step orchestration, and evaluation at scale. The role requires experience in Generative AI, Agentic Technologies, and people management, with a focus on building AI-native data journeys and AI-accelerated developer experiences.

Software Engineer III at Google's YouTube focusing on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements for AI/ML products. The role involves coding, collaboration, debugging, and working with core GenAI concepts like LLMs and Multi-Modal models.

Software Engineer III role at Google Cloud Storage focused on building Agentic AI solutions for autonomous storage management. The role involves designing and building the core architecture of AI products to manage cloud objects, automate tasks, tag data, and improve GenAI accuracy and security.

This role focuses on developing and deploying advanced AI/ML solutions, particularly LLMs and intelligent autonomous agents, to drive customer success in Google Cloud. It involves end-to-end development, implementation of evaluation frameworks, production monitoring, and identifying new AI/ML opportunities by collaborating with stakeholders and researching advancements in the field.

Staff Software Engineer focused on building data agents for Google Cloud's BigQuery. The role involves leading technical strategy, architectural design of the core reasoning engine, and driving cross-functional collaboration to bridge the gap between raw data and business-ready answers. Emphasis on engineering excellence, performance, reliability, and observability of production-critical agent services. Mentoring engineers and refining high-impact problems in data-centric AI capabilities.

Senior Software Engineer on the AI and Infrastructure team at Google, focusing on developing and scaling AI/ML capabilities and infrastructure for Google's products and customers. The role involves writing and testing code, collaborating on design and code reviews, triaging issues, and designing/implementing solutions in ML areas leveraging ML infrastructure.

Senior Software Engineer at Google's YouTube focusing on GenAI solutions. The role involves designing and implementing GenAI features, leveraging ML infrastructure, and evaluating different techniques. Requires strong programming skills in Python/C++, experience with ML infrastructure, and knowledge of state-of-the-art GenAI techniques like LLMs and Multi-Modal models.

Senior Software Engineer focused on optimizing ML kernels and infrastructure for TPUs and GPUs, impacting both training and inference performance for Google's AI models and cloud customers. This role involves deep technical work on low-level languages and collaboration with ML researchers and framework developers.

Senior Software Engineer on the Vertex Generative AI Media team, focusing on transforming generative models into high-performance engines for enterprise customers. The role involves managing post-training issues, including Multimodal Supervised Fine-Tuning (SFT) and Latent Distillation, to ensure brand-aligned, production-grade media generation. The engineer will build custom-tailored Generative Media by fusing Google's video and image foundations with proprietary enterprise data.

Senior Software Engineer role focused on designing and implementing GenAI solutions using ML infrastructure within Google Cloud. Requires experience in programming, ML infrastructure, software testing, and Generative AI techniques.

Senior Software Engineer on the RecML team, focused on scaling machine learning for recommendations and user modeling. The role involves architecting and implementing model-parallel training, optimizing transformer models, and writing low-level code for performance. This is a horizontal ML infra and efficiency role supporting the training framework of foundation recommender models.

Staff Software Engineer role focused on leading the technical direction of On-Device Machine Learning (ODML) and generative AI (GenAI) at Google. The role involves creating roadmaps for developer-facing APIs, SDKs, and tools, solving complex optimization problems for GenAI performance on mobile hardware, designing resilient systems, and coordinating efforts across multiple teams. The position requires extensive experience in software development, ML infrastructure, and launching software products, with a focus on optimizing LLM workflows for on-device deployment.

Staff Software Engineer focused on ML efficiency for YouTube's recommendation systems, working on model architectures, training procedures, and scaling experimentation on TPUs. The role involves optimizing ML infrastructure, reducing complexity in the ML ecosystem, and automating training, evaluation, and serving.

Senior Software Engineering Manager for Google Search AI Quality and Protections. This role involves leading a team of over 20 engineers to ensure the integrity, reliability, accuracy, and safety of advanced Search features, including AI Overviews and AI Mode. The team focuses on developing safeguards, model improvements, and ranking refinements for high-stakes queries in health, civics, and finance, bridging the gap between model capabilities and rigorous quality standards.

Senior Staff Software Engineer focused on building and scaling ML infrastructure for conversational agents in an enterprise AI context. The role involves designing and implementing back-end services, agent APIs, and infrastructure for autonomous tool use and multi-step goal achievement. It also includes developing analysis systems for massive data streams and robust monitoring/explainability frameworks, with collaboration with Google DeepMind and Vertex AI.

This role focuses on the hardware-software integration and validation of AI/ML hardware accelerators (TPUs) for Google Cloud. The engineer will work on ASIC development, validation, software, tools, and methodologies to ensure the functionality and performance of these custom silicon solutions that power Google's AI/ML applications.

Manage and lead a team of Android engineers building AI-powered user-facing features for Google Photos, focusing on LLM integration, agent capabilities, and multi-modal understanding to enhance user interaction and simplify tasks. The role involves technical leadership, people management, and scaling LLM infrastructure.

Senior Staff Machine Learning Software Engineer for Google's Feed Recommendation team, focusing on identifying and solving technical challenges in content retrieval, ranking, quality, and personalization. The role involves developing and deploying models, including LLMs and multi-modal systems, to analyze and recommend content at a massive scale for billions of users. This position requires driving end-to-end solutions and advancing key recommendation domains.

Security Engineering Manager for Google's Trust and Safety team focused on Gemini and Labs generative AI products. The role involves leading strategy, research, and execution to combat novel GenAI threats, providing technical leadership in cyber-security, intelligence, and threat analysis, and mentoring a team to build defenses against the misuse of generative models and agents. Responsibilities include identifying risks, translating insights into mitigation goals, providing technical leadership for anti-abuse defenses, leading adversarial simulations and assessments, and directing incident response.

Senior Staff Software Engineer role focused on designing, developing, and deploying large-scale GenAI solutions within Google Ads. This role involves technical leadership, ML infrastructure optimization, and working with state-of-the-art GenAI techniques like LLMs and Large Vision Models.

Senior Software Engineering Manager for Google Cloud AI Research, responsible for leading teams, setting technical strategy, and overseeing the design and implementation of large-scale ML infrastructure and solutions across specialized ML areas, with a focus on research impacting various industries.

Research Scientist at Google Research focusing on fundamental research and innovation in AI/ML, contributing to intelligent systems for Google products. Responsibilities include authoring research papers, defining research solutions, conducting experiments, and developing research prototypes. Requires a PhD and publication record, with preferred experience in owning research agendas.

Staff Software Engineer focused on building and optimizing agents for customer experience, leveraging Gemini and Vertex AI. The role involves developing automated systems for agent creation and refinement, embedding AI into client-facing infrastructure, and establishing engineering benchmarks for optimization. This is an applied AI role within enterprise AI, focusing on building full-stack concierge agents for sales and support.

Senior Software Engineer role focused on building a 'Business Analyst Agent' using Gemini/AI for Google Shopping. The agent will help merchants by answering performance-related questions, identifying opportunities, and acting on their behalf. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and potentially working with speech/audio or reinforcement learning.

Staff Software Engineer at Google working on GenAI for Google Workspace products. The role involves designing, developing, and deploying large-scale AI/ML solutions, optimizing ML infrastructure, and guiding data preparation and model optimization. It requires technical leadership and experience with state-of-the-art GenAI techniques, impacting billions of users.

Senior Software Engineer to design and implement GenAI solutions for Google Workspace products, leveraging ML infrastructure and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. The role involves writing and testing product code, collaborating with stakeholders, and evaluating tradeoffs between different techniques.

Senior Software Engineer role focused on AI/ML within Google Cloud, working on AI and Infrastructure teams to deliver AI capabilities at scale. Responsibilities include writing and testing code, designing and implementing ML solutions, leveraging ML infrastructure, and triaging/debugging system issues. Requires experience in Python/C++, software development, and specific ML areas like speech/audio, reinforcement learning, or ML infrastructure.

Software Engineer focused on optimizing GPU performance for Google's AI/ML infrastructure, impacting billions of users. Responsibilities include low-level GPU programming, performance engineering, and influencing the GPU software ecosystem and fleet deployment.

Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud Compute, leveraging ML infrastructure and evaluating different techniques. Requires strong programming skills, experience with ML infrastructure, and knowledge of state-of-the-art GenAI techniques.

Senior Software Engineer to design and implement generative AI solutions for Google Workspace products, leveraging ML infrastructure and state-of-the-art GenAI techniques to impact billions of users.

Software Engineer III role at Google Cloud focused on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with core GenAI concepts and text/image/video/audio generation.

Software Engineering Manager II at Google's YouTube, focusing on AI/ML. This role involves technical leadership, team management, and overseeing the design, implementation, and optimization of ML infrastructure and solutions, including model optimization and data processing strategies. The position requires experience in software development, ML infrastructure, and technical/people leadership.

Software Engineer III on the Google Cloud AI team focused on GenAI, responsible for implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. The role involves coding, collaboration, debugging, and working with core GenAI concepts and various data modalities.

Google is seeking PhD graduates for Software Engineer roles focused on AI/Machine Learning. The role involves developing and deploying advanced ML systems across the full stack, from hardware acceleration to production APIs, and transforming research expertise into scalable products. The position requires experience in ML/AI and coding, with a preference for large-scale distributed environments and deep learning frameworks.