Lead Software Engineer focused on infrastructure quality for robotics, including designing and implementing large-scale software and hardware systems, leading agentic AI initiatives, and driving system reliability for fleet management and data systems. The role involves managing releases, defining engineering productivity metrics, and optimizing the Data/ML Flywheel.

Senior Software Engineer to build next-generation modeling and quality infrastructure for queryless ad formats, using LLM-based distillation and differential modeling. Will lead technical roadmaps across retrieval, auction, and measurement, and develop evaluation frameworks where LLMs simulate user personas to predict ad quality. Focus on personalization and implicit user intent in local discovery.

Software Engineer III, AI/ML role focused on designing and iterating on agentic flows for user intent extraction, query generation, content retrieval and synthesis, and multi-modal generation within Google's Discover personalized content recommendation feed. The role involves conducting applied research, building quality intuitions, defining evaluation metrics, integrating new content formats, and implementing ML solutions at production scale.

Software Engineering Manager II for Google Cloud AI GenAI team, focusing on leading engineering teams, setting technical vision, and guiding the design and optimization of GenAI solutions, ML infrastructure, and data preparation strategies. The role involves people management, technical leadership, and contributing to product strategy within the AI Research team that aims to push state-of-the-art AI and collaborate with product teams.

Staff Software Engineer focused on optimizing the performance of ML models (including Gemini and OSS models) on TPU systems for both JAX and PyTorch platforms. The role involves identifying and maintaining ML benchmarks, analyzing performance metrics, and collaborating with compiler and runtime teams to improve performance. It also includes engaging with product teams and researchers to solve performance problems for large-scale ML training and serving.

AI/ML Engineer for Google Public Sector, focusing on productionizing AI solutions for national security customers. The role involves acting as a technical advisor, designing and implementing AI architectures, and coaching customers on ML systems. Requires experience with ML frameworks, coding, and a Top Secret/SCI clearance.

Staff Applied AI Agent Developer role focused on applying Generative AI (Gemini Enterprise) to solve real-world challenges for strategic customers. Responsibilities include designing, co-developing, debugging, and deploying custom conversational AI agents, writing bespoke code, developing custom tooling, and providing technical guidance to customers. The role also involves creating reusable tools, building documentation, and influencing product strategy based on field insights.

Staff Software Engineer focused on integrating Generative AI into Google Discover's personalization feed. The role involves architecting LLM integration layers, owning prompt engineering, evaluation, observability, and leading model selection/fine-tuning. The goal is to evolve Discover into a conversational and co-creative personal companion, impacting billions of users.

Senior engineer to architect and build Generative AI solutions for enterprise customers using Gemini and Vertex AI, focusing on agentic workflows and semantic data layers. The role involves resolving technical hurdles, optimizing latency, bridging systems, and transforming bespoke solutions into reusable assets and reference architectures. This includes mentoring engineers and advising customer CTOs, with a strong emphasis on customer engagement and product incubation.

Senior Software Engineer focused on AI/ML for Google Search Quality, involving development of ML models, leveraging ML infrastructure, and working with large-scale data processing and serving systems, particularly for abuse detection and search ranking.

Senior Software Engineering Manager for Google's AI and Infrastructure team, focusing on leading teams, setting technical direction, and overseeing the development and deployment of large-scale AI and ML infrastructure. The role involves managing engineers, defining product strategy, optimizing ML infrastructure, and driving technical projects across various ML specializations.

Staff Software Engineer, Machine Learning, Discover Ads Retrieval. This role focuses on innovating and defining the retrieval strategy for Google's Discover Ads, connecting users with relevant ads in their feed. The engineer will lead ML engineers to explore frontiers in embedding-based retrieval, deep learning architectures, and multi-objective optimization, impacting billions of users globally. The work involves moving beyond legacy retrieval methods to design next-generation applicant generation strategies and integrate fresh signals into retrieval models.

This role focuses on building and evaluating AI agents to classify web pages and reduce operational costs for Google's Safe Browsing system. It involves data analysis to identify harmful entities, understanding malicious website behavior using LLMs, and collaborating with anti-abuse teams to fight phishing and malware at scale. The role requires experience with AI agentic workflows and a strong background in data analysis and programming.

Staff Software Engineer on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. Responsibilities include designing, developing, and maintaining large-scale software solutions, providing technical leadership, and leading the design and implementation of solutions in specialized ML areas, optimizing ML infrastructure, and guiding model optimization and data processing strategies. Requires experience in software development, ML infrastructure, and ML design optimization.

Google is seeking an Engineering Manager for their Agentic Planning and Memory team, focused on transforming Google Workspace into a proactive digital partner. The role involves leading teams to develop advanced function-calling capabilities for autonomous workflow execution and building an agentic memory layer for improved context retention and utilization. This position requires strong technical leadership, experience in ML infrastructure, and expertise in GenAI techniques to impact billions of users.

Staff Software Engineer for Gemini Live, a multi-modal AI assistant aiming to be a daily habit for users seeking advice, information, and learning experiences. The role focuses on defining and driving the front-end architecture, engineering an intuitive multi-modal experience, and ensuring low-latency performance for a responsive and natural AI interaction. This involves partnering with GenAI and Model teams to integrate advanced capabilities and establish quality metrics.

Tech Lead for YouTube Shorts Discovery, focusing on ML Recommendations. This role involves designing, developing, and deploying large-scale software solutions and ML infrastructure to drive the success of YouTube Shorts. The primary focus is on building audience identification systems within the recommendation stack, leveraging advanced modeling techniques. The role requires technical leadership, managing project priorities, and guiding the development of ML models and data processing strategies.

Distinguished Engineer and Uber Tech Lead for Google Cloud Security's Unified and Security Operations organization (GUSTO). Responsible for defining and driving the long-term vision at the intersection of AI and cybersecurity, addressing complex security threats with AI, and conducting groundbreaking research. This role involves technical leadership, mentorship, and collaboration to shape Google Cloud security products.

Manager of a Generative AI Forward Deployed Engineering team responsible for leading AI/ML engineers to deploy bespoke agentic solutions within customer environments, providing technical mentorship, and managing hiring. The role involves resolving production-level obstacles and collaborating with sales, product, and engineering leadership.

This role focuses on the co-design and optimization of ML systems with hardware (HW) and software (SW), specifically for TPUs. The engineer will analyze and improve the performance, power, and energy efficiency of ML workloads, including large-language models and large embedding models, by optimizing model architecture, software systems, and hardware architecture. The role involves exploring and defining future ML accelerator architectures.

Technical Program Manager for Google's Gemini for Home initiative, focusing on orchestrating roadmaps and technical execution for agentic workflows that transform the home ecosystem into a proactive partner. The role involves managing complex AI launches, connecting engineering teams with AI research breakthroughs, and leading a team of TPgMs in navigating generative AI development.

Senior Software Engineering Manager for Google's Cloud GPU team, focusing on building and maintaining an industry-leading GPU fleet and AI Platform. The role involves managing engineering talent, executing technical roadmaps for GPU infrastructure, integrating new GPU architectures, and overseeing the lifecycle of accelerator solutions for AI workloads. This position is critical for enabling Google's AI innovation and supporting large-scale AI models and services.

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.

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).

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.

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.