Google

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.

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.

Software Engineer role at Google YouTube Ads focusing on Machine Learning. Responsibilities include writing product/system development code, collaborating with peers, contributing to documentation, triaging issues, and implementing ML solutions. Requires experience with ML infrastructure, model optimization, data processing, and specific ML areas like speech/audio or reinforcement learning.

Senior Staff Software Architect role focused on the software stack above firmware for Google's AI and HPC infrastructure, specifically concerning distributed systems, Linux OS, networking, and power management for accelerator platforms like GPUs and TPUs. The role involves technical leadership, architecture definition, and driving large-scale technical programs from concept to deployment to enable massive-scale AI and Cloud services.

This role is responsible for coordinating the GenAI serving process and supporting compute needs for model training. The individual will work with teams on their requests, improve and automate workflows, and manage computational power for frontier model development. Key responsibilities include debugging infrastructure, advising on compute governance, identifying launch bottlenecks, and developing internal tooling to streamline processes.

Software Engineer III, AI/ML, Core at Google, focusing on building the technical foundation for AI/ML products. Responsibilities include writing code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing ML solutions with a focus on optimization and data processing. Requires experience with ML infrastructure, model deployment, evaluation, optimization, and data processing, with a specialization in areas like speech, reinforcement learning, or ML infrastructure.

Google is seeking a Software Engineering Manager for the Retrieval Quality team. This role involves defining and driving the technical roadmap, managing a team of engineers, overseeing architectural design, and driving AI transformation to improve engineering productivity and solve technical problems. The team focuses on retrieval infrastructure and search quality, impacting large-scale distributed systems.

Senior Engineering Manager for ML Infrastructure in Ads Safety, leading technical strategy and organizational growth for platforms powering high-stakes content and actor detection. Bridges ML research and production engineering, driving evolution of ML infrastructure for complex models and operational excellence.

Google is seeking an Engineering Manager for their ML Infrastructure Control Plane team. This role involves leading engineering efforts for Alphabet's ML workloads, supporting critical missions across various Google divisions. The team focuses on providing efficient, reliable, and easy-to-use fleet-wide scheduling for ML infrastructure. The manager will set team priorities, develop technical roadmaps, guide system designs, and oversee code development and reviews, ensuring the efficient operation of large-scale ML infrastructure.

Staff Software Engineer focused on building ML compilers for EdgeTPU hardware, optimizing ML models for inference, and working on hardware/software co-optimizations. Collaborates with ML model developers and researchers to deploy models on EdgeTPU.

Software Engineer role focused on developing and optimizing compilers for Google's EdgeTPU, a custom ML accelerator for on-device AI. The role involves analyzing compiler performance, enhancing parallelization algorithms, and efficiently mapping generative AI models to EdgeTPU instructions to enable cutting-edge ML experiences on devices like Pixel phones.

Staff Software Engineering Manager for Emergent AI Infrastructure at Google, focusing on building and managing teams that deliver AI infrastructure at scale with sophisticated security and locality requirements for enterprise customers. The role involves technical leadership, people management, and contributing to product strategy for AI platforms and services.

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.

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 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.

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 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.