Tech Lead for Google Kubernetes Engine (GKE) AI Platform, focusing on managing containerized AI/ML workloads on GPU/TPU infrastructure using Kubernetes. The role involves driving innovation in reliability, efficiency, and scale of AI infrastructure, engaging with customers, and leading technical direction for workload optimization.

This role focuses on RTL design for AI/ML hardware accelerators, specifically Google's TPUs. The engineer will design and verify complex digital designs, focusing on TPU architecture and its integration within AI/ML systems, contributing to the innovation behind Google's AI/ML applications.

This role focuses on RTL design for AI/ML hardware acceleration, specifically TPUs, powering Google's AI/ML applications. The engineer will design and verify complex digital designs, focusing on TPU architecture and its integration within AI/ML systems, contributing to custom silicon solutions.

Staff Software Engineer focused on optimizing the performance and efficiency of Google's TPU fleet for Machine Learning training and serving workloads, including models like Gemini. This role involves deep analysis of performance metrics, collaboration with product teams and researchers, and implementation of solutions at scale, potentially touching compiler, runtime, model co-design, quantization, and sparsity.

Engineering Manager for Google BigQuery's Advanced Analytics team, focusing on the AI, ML, Search, and extensibility architecture. The role involves developing a technical roadmap for the extensibility platform, enabling custom logic execution within BigQuery for AI/ML pre-processing, training, and inference. It also includes leading feature lifecycles, driving technical vision for hybrid compute workloads, and overseeing production stability and performance.

Software Engineer role focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in software development and ML infrastructure, with preferred qualifications in C++ and software design.

Senior Software Engineer role focused on AI/ML within Google Search, involving the design and implementation of ML solutions, leveraging ML infrastructure, and expertise in specialized ML areas like speech/audio or reinforcement learning. The role requires experience in programming, software development, and ML infrastructure aspects such as deployment, evaluation, optimization, data processing, and debugging.

Software Engineer role focused on building and scaling content safety platforms using ML infrastructure and responsible AI techniques to protect users from harmful content. The role involves designing, building, and maintaining these platforms, ensuring quality implementations of company-wide standards for Responsible AI, and collaborating with stakeholders. It requires experience in software development, ML infrastructure, and potentially speech/audio or reinforcement learning.

Software Engineer III on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. The role involves writing product/system code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in ML areas including ML infrastructure, model optimization, and data processing. Requires experience in Python/C++, ML infrastructure (deployment, evaluation, optimization, data processing), and optionally speech/audio or reinforcement learning.

Software Engineer III, AI/ML, GenAI at Google. This role involves writing product or system development code, collaborating with peers, contributing to documentation, triaging issues, and implementing GenAI solutions. It requires experience with ML infrastructure, GenAI techniques like LLMs and LVMs, and machine learning frameworks like TensorFlow. The position is focused on engineering and scaling GenAI capabilities within Google's products.

Senior Software Engineer at Google's YouTube, focusing on AI/ML development. The role involves writing and testing code, collaborating with stakeholders, contributing to documentation, triaging and debugging issues, and designing/implementing solutions in specialized ML areas using ML infrastructure. Requires experience in Python, C++, software design, and specific ML fields like speech/audio, reinforcement learning, or ML infrastructure.

Senior Software Engineer on Google Cloud Compute focusing on ML/AI algorithms, deep learning, and NLP. Responsibilities include software development, design, testing, deployment, and maintenance, with a focus on managing project priorities and deliverables. Requires 5 years of software development experience and 3 years of experience with ML/AI algorithms and tools.

Software Engineer role focused on developing and optimizing the TPU compiler for large-scale machine learning models. This involves writing C++ code, designing performance optimizations, and applying AI techniques to the compiler itself. The role supports both internal Google teams (like DeepMind) and external Google Cloud customers.

Senior Software Engineer focused on optimizing GPU performance for Google's AI models and products. This role involves low-level GPU programming, compiler optimizations, and influencing the GPU software stack and fleet deployment to ensure top performance for ML workloads.

Software Engineer III, AI/ML role at Google YouTube, focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in Python/C++, ML infrastructure, and potentially speech/audio or reinforcement learning.

Software Engineer III on the Google Cloud AI Research team, focusing 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, triaging issues, and debugging. Requires experience in Python/C++, and ML infrastructure such as model deployment, evaluation, optimization, and data processing. Experience with speech/audio or reinforcement learning is a plus.

This role focuses on developing architectural and micro-architectural models for next-generation TPUs (Tensor Processing Units) to enable quantitative analysis of performance and power. The engineer will contribute to Machine Learning workload characterization, benchmarking, and hardware-software co-design, collaborating with various teams to define TPU chip specifications and roadmaps for AI/ML hardware acceleration.

Google is seeking a PhD Software Engineer with expertise in AI/ML and large-scale distributed systems to design, test, deploy, and maintain software solutions for AI and Infrastructure (AI2) organization. The role involves defining technical goals, developing scalable systems, applying research expertise to complex problems, and contributing to essential Google services and Cloud products.

This role focuses on the design and verification of AI/ML hardware accelerators (TPUs), involving architecture definition, performance modeling, RTL design, and hardware/software co-design. The engineer will work on optimizing ML workloads and developing efficient design verification strategies for next-generation TPUs, leveraging AI techniques for physical design convergence.

Software Engineering Manager II for Google Cloud's AI and Infrastructure team, focusing on delivering AI and Infrastructure at scale. The role involves technical leadership, team management, setting priorities, developing roadmaps, and guiding system designs, with a focus on enabling advanced AI models and delivering computing power.

Software Engineer with a PhD, focusing on AI/ML infrastructure and systems within Google Cloud. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, triaging and debugging complex technical issues, and collaborating on design, analysis, and development across the stack. The focus is on building and scaling AI/ML capabilities on Google's frameworks and infrastructure, contributing to products used by billions.

Software Engineer role focused on implementing and designing Search features, leveraging advanced GenAI capabilities and LLM concepts, with a focus on Kubernetes-based infrastructure for scalability and performance.

Silicon Architecture/Design Engineer focused on developing next-generation TPUs for AI/ML workloads. Responsibilities include workload characterization, architecture specification, power/performance modeling, RTL design, hardware/software codesign, and leveraging AI techniques for physical design. The role requires a PhD and experience with accelerator architectures and data center workloads.

Google is seeking a Software Engineer for Systems Research with a PhD to explore emerging technologies and systems, design and build prototypes for data center and cloud environments including machine learning, and influence products by operating across research and engineering teams.

Software Engineer to build and deploy AI-powered CI infrastructure for Android, Chrome, and ChromeOS. Focus on scalability, reliability, and streamlining operational workflows using Agentic AI.

Google is seeking an engineer to work on infrastructure for AI-powered Workspace products, focusing on developing and enhancing software solutions that will shape the future of productivity tools. The role involves managing project priorities, designing, developing, testing, deploying, and maintaining software, with a focus on large-scale infrastructure and distributed systems, and collaborating with AI model builders.

Senior Software Engineer to build next-generation, AI-powered infrastructure supporting Continuous Integration (CI) systems for Android, Chrome, and ChromeOS. The role involves designing, implementing, and deploying scalable and reliable systems, with a focus on streamlining operational workflows using Agentic AI and enhancing system reliability. The engineer will also contribute to AI accelerated development and ensure the scalability and availability of infrastructure.

Senior Software Engineer role focused on developing and managing software for deploying Electronic Design Automation (EDA) tools on Google Cloud. The role involves creating automation, back-end RPC services, and cloud-based solutions for scaling workflows. A key aspect is leveraging advanced machine learning techniques to generate user insights, impacting hardware creation at Google.

Senior Software Engineer on the Pixel Audio team, focusing on embedded systems and firmware for earbuds. The role involves designing, developing, and optimizing audio software, with a specific emphasis on architecting features at the interface of voice and Large Language Models (LLMs) within a multi-core, power-constrained environment. Responsibilities include managing performance metrics (MIPS, memory, power) and collaborating with cross-functional teams to deliver features from prototype to launch.

Google is seeking a Software Engineering Intern to work on AI-integrated software and high-performance applications, focusing on designing, deploying, and maintaining end-to-end infrastructure for large-scale systems. The role involves developing scalable engineering solutions for Google products and applying computer science knowledge to real-world challenges.

Senior Product Manager for Google's Silicon, Audio, and Speech division, focusing on defining product roadmaps for Audio and Speech hardware and software solutions that leverage Google's AI/ML capabilities. The role involves cross-functional collaboration with engineering, research, and device teams to bring differentiated features to first-party devices, with a strong emphasis on silicon products powering mobile devices and experience with audio/NLP solutions and ML/LLMs.

Manage a team of Software/Systems Engineers focused on Site Reliability Engineering for AI-powered systems within the Google Shopping domain. The role involves ensuring the scalability, reliability, and performance of AI-driven infrastructure, with a focus on automation and end-to-end service availability.

Software Engineer III, ML Networking at Google, focusing on building and optimizing the infrastructure for scaling Large Language Models (LLMs) and other Machine Learning (ML) workloads on GPUs. The role involves analyzing and resolving networking issues, optimizing performance for ML workloads, and contributing to the full stack optimization of ML networking on Google's infrastructure.

Technical Program Manager for System on a Chip (SoC) development, focusing on edge-AI products with distributed inference technology for real-time systems. The role involves managing complex, multi-disciplinary projects from concept to production, collaborating with various engineering teams, and driving technical decisions, schedules, and risk management.

Staff Software Engineer role focused on designing and leading feature development for the GKE Agent Gateway, enhancing capabilities for AI/ML workloads and contributing to the Kubernetes open-source project. The role involves collaboration with Load Balancing teams, ensuring optimal routing, load balancing, and autoscaling for inference serving, and improving observability, testability, and reliability of the Inference Gateway.

Machine Learning Engineer focused on compiler optimization for hardware design, leveraging ML infrastructure to improve semiconductor development velocity and quality within Google's internal tools.

Google is seeking a Staff Software Engineer to work on Woodshed, an AI/ML Storage system that provides exabyte-scale foundation for all ML workloads at Google, aiming to accelerate ML training and inferences and simplify ML data management. The role involves technical leadership, project management, and collaboration with infrastructure and client teams to guide integrations for high-impact projects.

Customer Engineer role focused on AI infrastructure and accelerators within Google Cloud, helping enterprise clients integrate and optimize AI/ML models. Responsibilities include advising on cloud strategy, demonstrating product differentiation, building reusable assets, and influencing product roadmaps. Requires strong cloud infrastructure experience and experience building/operationalizing ML models, with preferred experience in training large models and performance profiling.

Software Engineer III at Google Beam, focusing on real-time ML-based 3D human capture and rendering for live 3D experiences. The role involves developing scalable software regression frameworks, automated release test infrastructure, and Hardware-in-the-Loop (HILT) testing for Google Beam's communication technology.

This is a PhD intern role focused on developing and maintaining the end-to-end infrastructure for AI-integrated software and large-scale systems at Google. The intern will work on complex computer science solutions and scalable, distributed software systems.

Staff Software Engineer at Google Cloud focused on optimizing fleet transformation and operations using ML-powered simulations and discrete algorithms. The role involves migrating from MIP models to ML for predictive, self-governing systems, designing simulation engines, and guiding automated policy enforcement for AI/ML compute needs.

Senior Software Engineering Manager for Google Cloud Dataproc, responsible for building an AI-ready platform with GPU support and integrating AI/ML/Data Science workloads. The role involves leading engineering teams, architecting data lakehouse solutions, and fostering innovation in distributed systems and open-source technologies.

Technical Solutions Engineer for Google Cloud's Data Analytics and AI/ML services, focusing on troubleshooting and resolving customer-reported issues. Requires strong technical skills in data, AI/ML, and coding, with fluency in Japanese and English.

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 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.

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.

Software Engineer role focused on performance, reliability, and observability tools for Google Cloud control plane systems. The role involves analyzing VM performance, developing performance models, designing benchmarks, and exploring the use of machine learning for anomaly detection. While the core is engineering and performance analysis, there's an exploration component involving ML for anomaly detection.