This role focuses on optimizing the performance of machine learning software and hardware stacks, particularly for TPUs, by providing performance debugging and analysis for ML workloads and custom kernels. The engineer will contribute to the end-to-end stack and analysis tools to support new ML paradigms and partner with teams to deliver chip profiling requirements.

Senior Customer Engineer focused on AI infrastructure, specifically Google Cloud TPUs, for enterprise clients. This role involves designing, deploying, and optimizing AI training and inferencing solutions, advising on ML operations, and supporting sales teams by solving technical challenges related to AI hardware and software stacks.

This role involves designing and implementing machine learning solutions for enterprise customers on Google Cloud, acting as a trusted technical advisor, and coaching customers on production ML systems. It requires experience with ML solutions, cloud enterprise solutions, and coding in general-purpose languages, with a preference for recommendation engines, data pipelines, and deep learning frameworks.

Staff Software Engineer for Google Cloud Networking Security team in Bangalore, focusing on building and operating large-scale network security services. The role involves defining technical strategy, leading the implementation of AI/ML features for threat detection and automated responses, and providing technical guidance and mentorship. Requires experience in software development, network security, distributed systems, cloud, and AI/ML.

Software Engineer III, Backend role at Google, focused on building a next-generation platform for security mechanisms that will enable AI agents to operate in production. The role involves implementing features, writing and testing code, debugging issues, and partnering with other engineers and stakeholders.

Software Engineer III at Google YouTube, focusing on Trust and Safety for livestreams. The role involves analyzing content gaps, building multi-modal classifiers (video, image, audio, transcripts, metadata) using machine learning, and productionizing these solutions. Requires experience in applied ML, Python, and handling large-scale systems.

Technical Lead for Vector Search Serving infrastructure within Google Cloud's Vertex AI platform, focusing on managing massive datasets and query volumes with low latency. The role involves technical leadership, architecture, code reviews, and mentoring engineers, with a requirement for experience in GenAI techniques.

Senior Software Engineer to build AI agents and next-generation UI components for Google's Software Development Life Cycle (SDLC), focusing on agentic orchestration and human-agent interaction within Project Basecamp.

Senior Software Engineer role focused on the convergence of AI and XR, developing full-stack imaging and camera solutions for XR devices. The role involves optimizing software layers for quality, latency, and power efficiency, evaluating and developing technologies for next-generation products, and collaborating across various Google teams and external partners. Experience in imaging, computer vision, and ML perception is required, with a focus on shipping AI-powered XR products.

Staff UX Front-End Engineer for YouTube, focused on building high-fidelity prototypes and experimental frameworks for GenAI-driven creation tools. The role involves establishing a prototyping program with shared sandboxes and reusable toolsets to enable designers to create functional prototypes reflecting AI-driven media generation. Responsibilities include leading prototyping for AI video features, developing a creation design system, and driving the design-to-code evolution.

Product Manager for YouTube Ads User Quality, focusing on ML algorithms, auction design, and relevance models to improve ranking systems and user experience. This role involves defining metrics, designing A/B tests, and partnering with engineering and data science teams to develop and deploy next-generation ranking models.

Senior Software Engineer role focused on AI/ML within Google Search, involving the design and implementation of solutions in specialized ML areas, leveraging ML infrastructure, and contributing to product/system development. The role requires experience with ML infrastructure, model deployment, evaluation, optimization, and specific ML fields like Recommendation Systems or reinforcement learning.

Staff Software Engineer for YouTube Shopping Recommendations, focusing on applied machine learning and recommendation systems to enhance the shopping experience within YouTube. The role involves technical leadership, driving viewer growth through ML algorithms, and collaborating across teams to build and deploy these systems at scale.

Technical Lead for Google Cloud Security, focusing on transitioning to an AI-native Security Operations Center (SOC). The role involves architecting an Agent Engine and universal APIs for enterprise security teams to orchestrate defense at machine speed, shifting from static workflows to multi-agent ecosystems. Requires strong software development, ML design, and architecture experience, with a focus on AI/ML integration into enterprise products.

This role focuses on designing and developing AI-powered solutions and prototypes for enterprise customers on Google Cloud Platform. It involves technical leadership, customer engagement, and guiding customers through the implementation of AI models, including fine-tuning and RAG.

Staff Software Engineer role focused on building and enhancing large-scale AI/ML systems for YouTube Ads, specifically for user interest modeling and ad recommendation. The role involves technical leadership, designing and implementing ML solutions, optimizing ML infrastructure, and guiding model optimization and data processing.

Product Strategy and Operations Principal for Google Cloud AI, focusing on evolving legacy systems to Agentic ecosystems. This role involves strategic analysis, roadmap development, and translating AI infrastructure needs into business strategies and Go-To-Market plans, with a focus on designing agent systems.

Software Engineer role focused on 3D computer vision, specifically camera calibration workflows and algorithms, from conception to factory deployment. Responsibilities include creating system requirements, designing experiments, authoring monitoring dashboards, and managing calibration station bring-up at manufacturing sites. Requires experience with ML infrastructure and computer vision.

This role focuses on shaping generative AI experiences within Google Search by leading model behavior design, content strategies, and training methods. The Staff UX Content Designer will develop frameworks, rubrics, and evaluation methods to ensure high-quality, trustworthy responses, working closely with researchers, PMs, and engineers. The role emphasizes influencing response quality, building user confidence, and defining standards for a reliable search experience.

This role focuses on developing and deploying AI/ML models within Electronic Design Automation (EDA) CAD tool flows for AI/ML hardware acceleration, specifically Google's TPUs. The engineer will architect, develop, and implement software systems to automate and optimize chip design processes, focusing on improving Power, Performance, and Area (PPA) and Turn Around Time (TAT). The role involves a blend of hardware design, software engineering, and AI/ML application within the silicon development lifecycle.

AI Engineer role focused on delivering and evolving a Generative AI curriculum for global participants, applying AI solutions to business challenges, and leading customer educational journeys. The role involves designing AI/ML curriculum, staying updated on ML developments, and serving as an ML subject matter expert for Google Cloud Consulting.

Senior Software Engineer role focused on applying Operations Research and Machine Learning techniques to enhance Gemini and improve developer workflows with optimization agents. The role involves building technology to solve complex optimization problems and democratizing optimizations through new surfaces.

This role focuses on the RTL design and verification of PCIe subsystems for Google's next-generation Tensor Processing Units (TPUs), which are custom accelerators for AI/ML workloads. The engineer will architect and implement SoC-level RTL, focusing on foundational infrastructure like clocking, reset, and error handling, and collaborate with hardware and software teams throughout the product lifecycle. The position involves leading PCIe microarchitecture, RTL development, integration, and post-silicon bring-up, requiring expertise in ASIC design, PCIe protocols, and verification methodologies.

This role focuses on shaping product experiences through content design and UX writing, with a significant emphasis on conversational AI and driving the behavior of AI models. The responsibilities include establishing model training practices, writing content for AI, and evaluating response quality. The role also involves developing AI-driven prototypes and working with multi-modal interfaces, indicating a strong connection to building and refining AI systems.

Senior Software Developer role focused on building cloud-based integration platforms for AI agents in customer support, connecting Generative AI to users across chat and voice surfaces. The role involves end-to-end development, technical leadership, and collaboration with product, UX, and AI research teams.

Software Engineer III role at Google Play focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product/system development code, collaborating with peers, contributing to documentation, triaging issues, and debugging. Requires experience in Python/C++, and ML infrastructure or a specialization in an ML field like speech/audio or reinforcement learning.

Staff Software Engineer to lead the technical strategy for a Generative AI pillar focused on building an extensible agent platform for automating compliance execution within Google Cloud Platform services. Responsibilities include static code analysis, auto-generating compliance code, and providing chat assistance for technical questions.

Senior Staff Software Engineer role focused on defining the roadmap and architecture for Agentic Applications within Google Cloud. The role involves developing an intelligent query layer, driving cross-organizational collaboration for agent ingestion and serving, and owning complex roadmaps related to exabyte-scale storage solutions for these applications.

Seeking an Engineering Manager with an infrastructure technical background to lead a team focused on optimizing planet-scale data processing infrastructure. This platform powers foundational AI/ML features and next-generation AI initiatives, with a focus on advancing scheduleability and auto-tuning for ML pipelines and standard data workloads. The role involves leading research into AI-driven optimization strategies and collaborating with teams working on frontier AI models.

Software Engineer role focused on transforming a web application (NotebookLM) to support interconnected AI agents and long-running, goal-seeking tasks, balancing user simplicity with agentic workflow power for mass consumer markets. The role involves end-to-end feature prototyping and building, linking back-end capabilities to user journeys, and driving engineering-product alignment in an evolving AI space.

Senior Technical Solutions Consultant role focused on architecting and implementing a Digital Twin ecosystem for Google's consumer hardware product design and manufacturing. The role involves full-stack GCP cloud-native development, integration of Vertex AI/Gemini Enterprise, and pioneering autonomous agents for insights and automations. Responsibilities include engineering microservices, deploying and monitoring AI agents, and leading code reviews for both full-stack code and agentic orchestration.

Staff Software Engineer focused on building and launching tools and solutions for GenAI data generation and evaluations. The role involves developing a self-service data generation platform, performing LLM/GenAI model evaluations, and fine-tuning models using techniques like RLHF. The engineer will work cross-functionally to deliver high-quality data sets and evaluation infrastructure for various GenAI use cases.

Senior Software Engineering Manager for Mobile Maps Innovation at Google. This role involves leading strategy and execution for new ways users search and interact with the physical world, focusing on leveraging location history and on-device components to provide intelligent, predictive context. The manager will oversee feature development, drive user-facing product initiatives (e.g., monetization), manage cross-functional projects, and grow/mentor a team. A key aspect is driving GenAI adoption and managing the deployment of models like Gemini Nano on hardware for validation.

Staff Data Scientist role focused on personalization and quality for Google Discover, involving the development and improvement of retrieval and ranking ML systems. The role requires leveraging AI and LLM techniques to enhance user experience and product growth, with responsibilities including analysis, research, and technical leadership.

This role focuses on architecting the hardware (SoC Vision Architect) for AI/ML applications, specifically Tensor Processing Units (TPUs) and their associated imaging pipelines (ISP, CODECS). The goal is to define custom silicon solutions that power Google's demanding AI/ML workloads, optimizing for power, performance, and area while integrating advanced computational imaging algorithms and potentially deploying neural networks on specialized hardware.

Senior Staff Software Engineer role at Google, focusing on Search Intelligence. The role involves technical leadership, designing, developing, and enhancing large-scale software solutions, collaborating with AI/ML researchers and Product Managers, and ensuring the reliability and scalability of Search Intelligence features for the Indian market. Requires 8 years of software development experience and experience in technical leadership.

The role focuses on applying AI and agentic engineering principles to optimize Google's CoreOS compute infrastructure. Responsibilities include conceptualizing AI strategies, building tools for kernel quality insights, managing fix rollouts, designing tests, debugging kernel issues, and providing technical leadership. The role involves a mix of exploration, engineering, and productionization, aiming to revolutionize how CoreOS is worked on, tested, released, and supported using AI.

This role is for a Technical Program Manager focused on building high-impact AI agents for enterprise clients within Google Cloud. The TPM will elicit business requirements, conduct A/B testing and PoCs, collaborate with Data Science and Engineering on data pipelines for ML models, and ensure solutions address supply chain bottlenecks. They will also manage a team of TPMs, including resource allocation and hiring. The role involves integrating generative AI solutions into business processes and agent-based modeling.

UX Engineer for Robot Infrastructure at DeepMind, focusing on human-robot interaction, teleoperation, and collaboration with autonomous agents. The role involves architecting full-stack web applications for robotics fleet management and ML training data systems, partnering with ML researchers and engineers to create seamless user experiences, and adapting to emerging AI capabilities.

Manager for engineering teams building and deploying AI infrastructure for Google Distributed Cloud and Sovereign Cloud, focusing on GenAI, air-gapped runtimes, and optimizing inference performance in regulated environments.

Engineering Manager for ML Infrastructure, focusing on fleet-wide scheduling for Alphabet's ML workloads. This role involves leading a team, setting technical roadmaps, and ensuring efficient, reliable, and easy-to-use scheduling for ML tasks across production machines, supporting services like Vertex AI and Gemini models.

Senior Staff Software Engineer focused on building and growing the adoption of next-generation bidding technology and products for Search Ads, leveraging ML and Generative AI for optimizations. This includes developing full-stack backend software, implementing sustainable systems and data pipelines, and launching advertiser-facing products and backend improvements.

This role focuses on engineering and scaling systems for threat intelligence within Google Cloud. It involves designing APIs for data ingestion, developing web scrapers for dark/deep web monitoring, and architecting data pipelines that use ML/LLMs to process unstructured web content into structured intelligence. The role also includes deploying and maintaining highly available services and collaborating with threat analysts and data scientists.

Senior Data Scientist role focused on Core Ranking and AI Context Engineering (CRAFT) for Google Search, AI Overview, and AI Mode products. The role involves identifying quality and metric headroom, conducting analyses, applying statistical/AI methods, developing and automating evals and measurements for iterative improvements, and partnering with engineering and product teams to drive system changes and launches. The position requires a Master's degree in a quantitative field and 5 years of experience in analytics and coding, with preferred experience in consumer-facing products and evaluation methodologies.

Software Engineer III on the AI and Infrastructure team at Google, focusing on delivering AI and Infrastructure at scale. Responsibilities include writing code, collaborating on design and code reviews, triaging issues, and implementing ML solutions with a focus on ML infrastructure, model optimization, and data processing. Requires experience in Python/C++, ML infrastructure, and a specialization in areas like speech/audio or reinforcement learning.

Manager role focused on transforming support tooling from assisted to autonomous support by leading the Agentic AI strategy. This involves governing the federation of AI agents, designing governance and maintenance processes, and bridging operations and engineering to build solutions for case management, troubleshooting, and workflow automation.

Software Engineering Manager for Google Cloud's Database Intelligence Platform team, focusing on delivering AI-powered database management, AI-assisted journeys, and intelligent agents for monitoring and troubleshooting. The role involves technical leadership, team management, and collaboration across multiple database teams within GCP.

Manager for a team building the core next-generation user interface for XR Glasses, focusing on the convergence of AI and XR to create augmented human intelligence experiences. The role involves technical leadership, team management, product strategy, and overseeing the development of novel user interfaces in an emerging technical space.