Senior Software Engineer focused on AI/ML for video quality optimization and understanding in Google Meet. Responsibilities include developing ML models for video enhancement, segmentation, and understanding, collaborating on best practices, and driving AI/ML development in the video domain to create tangible features for users.

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 Engineer on the Google Cloud Generative AI Blackbelt Team, focusing on building and deploying Generative AI and AI Agent capabilities for enterprise customers. The role involves end-to-end software development, including design, testing, deployment, and maintenance of AI-driven solutions.

Software Engineer role focused on building AI-driven tools and infrastructure for testing Pixel devices. The role involves creating autonomous agents, developing scalable AI-native infrastructure, and integrating AI into CI/CD pipelines and HIL systems. Emphasis on agentic development, LLMs, and internal productivity tools.

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.

Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Ads, leveraging ML infrastructure and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. Requires strong programming skills, experience with ML infrastructure, and a solid understanding of GenAI concepts.

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 role focused on optimizing the performance, developing tools, and troubleshooting AI/ML training and inference workloads within Google's AI infrastructure. The role involves working with distributed computing, GPUs/TPUs, and ensuring the reliability and efficiency of AI services.

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.

Software Engineer role focused on scaling data optimization techniques to improve ML model performance and quality, working with Research teams and ML practitioners to build and iterate on engineering tools and processing pipelines. The role emphasizes the data-centric nature of AI in the Gemini era and improving model quality through data optimization.

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.

Google Cloud is seeking a Software Engineer to work on workload orchestration, specifically implementing a Cognitive Architecture where AI agents act as 'Principal Engineers' to write, validate, and deploy deterministic orchestration code. This role focuses on optimizing infrastructure for GenAI inference and improving resource utilization using AI.

This role focuses on designing and architecting next-generation Tensor Processing Units (TPUs) for AI/ML workloads. Responsibilities include defining architecture, developing power/performance models, RTL design, and collaborating with hardware, software, and ML teams for effective hardware/software co-design. The role also involves using AI techniques for physical design and optimizing silicon bring-up processes.

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.

Student Researcher (PhD) position at Google, focusing on exploratory research projects to advance scientific understanding and develop next-generation intelligent systems. The role involves participating in research, developing solutions for large-scale problems, and potentially contributing to publications.

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.

Software Engineer III, Mobile XR at Google, focusing on building AR glasses applications that integrate AI, particularly Gemini-based translation models, for real-time speech translation and other helpful experiences. The role involves adapting and launching first-party apps for mobile platforms, leveraging Generative AI tools for development acceleration, and ensuring native XR support.

Software Engineer III for Google Threat Intelligence focused on building AI-driven systems for cyber threat collection and analysis. The role involves developing automated tools to gather data from the dark, deep, and open web, applying ML/LLMs to process unstructured text, and building data pipelines to create structured intelligence for threat databases. The goal is to enhance proactive defense against global cyber threats.

Senior Staff Software Engineer role focused on developing security controls and guardrails for AI agents within Google Cloud's Identity and Access Management (IAM) system. The role involves leading the design and implementation of large-scale authorization systems, extending IAM functionality to govern agent behaviors, and ensuring the security and reliability of these systems.

Staff Software Engineer on the Google Cloud Generative AI Blackbelt team, focused on helping enterprise customers adopt and integrate Generative AI solutions. This role involves understanding customer needs, resolving technical blockers, recommending architectures, and supporting developers in leveraging Google's GenAI APIs.

Senior Software Engineer focused on building security and privacy frameworks for AI agents within Google Workspace. The role involves developing robust security, enforcing agent identities, and establishing real-time safety guardrails to enable secure collaboration with AI agents, impacting billions of users.

Senior Quality Engineer for Gemini Enterprise Quality at Google Cloud AI Research. This role involves designing and implementing ML solutions, leveraging ML infrastructure, and focusing on quality assurance for AI products, particularly in specialized ML areas like speech/audio or reinforcement learning. The role requires experience in ML infrastructure, including model deployment and evaluation, and contributes to bringing AI innovations to real-world impact.

Senior Software Engineer focused on AI/ML within Google Search Platforms, responsible for designing and implementing ML solutions, leveraging ML infrastructure, and contributing to product/system development and testing. Requires experience in software development, ML infrastructure, and specialized ML areas like speech/audio or reinforcement learning.

Senior Software Engineer on the Server AI Foundations team, focusing on building AI-powered tools for Google developers to enhance productivity and integrate AI into workflows. The role involves technical leadership in design, architecture, and implementation of AI-integrated solutions within Google's production platform infrastructure.

Senior Software Engineer on the EdgeTPU Compiler team responsible for building next-generation compiler optimizations to power machine learning (ML) models on custom hardware. This role involves translating framework-level code (JAX, PyTorch) into efficient instructions for the EdgeTPU, owning end-to-end features, triaging issues, implementing optimizations, and collaborating with model owners and stakeholders to accelerate ML deployment on edge devices.

Staff Functional Safety Engineer for robotics compute platforms at Google DeepMind, focusing on designing and implementing functional safety architectures for AI-powered robots. The role involves ensuring compliance with safety standards, collaborating with AI research teams, and overseeing the deployment of complex electromechanical systems.

Software Engineer II on the Account Threats Detection team at Google Core, focusing on building and operating the ML ecosystem for transformer-based account activity models. The role involves implementing ML pipelines for experimentation, training, validation, and deployment, as well as analyzing model drift and collaborating with partners to integrate threat detection solutions.

This role focuses on the design and implementation of Application-Specific Integrated Circuits (ASICs) for accelerating Machine Learning (ML) computations in data centers, specifically for Google's AI and Infrastructure team. The engineer will work on micro-architecture, implementation, and optimization of these custom silicon solutions, collaborating with various teams to deliver high-performance and efficient hardware accelerators.

Software Engineer role focused on AI-driven validation of AI-generated code and systems, ensuring stability and correctness as AI code volume grows. Responsibilities include creating and executing integration tests, validating system attributes, and identifying/addressing validation gaps to mitigate risks. The role involves working with coding agents and injecting quality feedback into the development loop.

Software Engineer on the Pixel System Health Engineering Productivity team, focused on applying AI/ML (like Gemini) to automate bug triage, justify device quality, and improve overall Pixel product reliability and performance. The role involves developing and scaling automated triage systems, building predictive tools, and collaborating with cross-functional teams to integrate AI-powered solutions.

Senior Software Engineer, Machine Learning, Debug role focused on developing and deploying deep learning models for mosquito-born disease eradication. This involves computer vision for analyzing mosquitoes, statistical modeling for population dynamics, and building production-ready code for scalable deployment, with a focus on optimizing vector control strategies.

Tech Lead Manager for Kubernetes AI Infrastructure, responsible for building and managing reliable and scalable TPU orchestration with Kubernetes to enable customers to run GenAI workloads at scale on-premises. The role involves technical leadership, people management, and collaboration with AI labs to influence the infrastructure roadmap.

Google is seeking a Senior Software Engineer to design and implement recommendation systems models for YouTube Ads, leveraging ML infrastructure and contributing to architecture. The role involves writing and testing code, collaborating with stakeholders, triaging issues, and deploying models in production.