…driven by the explosive growth of our AI and Machine Learning (ML) platforms and the increasing size and scale of our data centers worldwide…

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another…

…10 years of experience in software engineering, cloud-native architecture, or AI/ML systems, including experience building or developing technology within early-stage or…

…to interview. - 5+ years of software engineering experience, with at least 2+ years focused on building AI/ML-powered applications or agentic systems in…

…ML platform team: understand the cluster shapes they need — topology, interconnect, scheduling constraints — and encode them as first-class abstractions in the platform. Engineer…

…You'll build AI-driven product features for the customers training and post-training frontier models on our platform, and you'll raise the…

…Join us and help build the platform engineers turn to to ship AI products. THE ROLE: We are seeking an experienced Product Marketing Manager…

…Apply generative AI techniques (prompt engineering, RAG, agentic workflows, fine-tuning, model hosting and deployment) and classical ML where appropriate to solve never-before…

…Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience using managed ML/AI solutions Amazon is an equal…

…You are equally comfortable whiteboarding transformer architectures with ML engineers, designing multi-turn agentic workflows, and understanding the operational realities of energy customers. Key…

…in technology/software sales, pre-sales, or consulting - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics…

…Compute, Generative AI, Accelerated Compute/GPU infrastructure, HPC, Security, Networking, or Storage - • Experience helping customers design and optimize infrastructure for AI/ML workloads (training…

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today’s AI workloads in datacenters all…

…our AI/ML platform, ensuring robustness, scalability, and high performance. Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance…

…Experience building or supporting production AI/ML platforms (training, deployment, and model serving/inference), including GPU infrastructure/tooling. Strong DevOps/platform engineering practices: CI…

…Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Demonstrated experience running ML training in…

…of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in…

…of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in…

…Direct experience standing up or leading an ML feature store / feature platform at scale (Databricks Feature Engineering, Feature Views, Mosaic AI Model Serving, or…

…improve code health, observability, and platform architecture Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied…

…ML platform deployment at scale Familiarity with business-led analytics delivery models and rapid prototyping frameworks Experience with AI/ML governance, prompt engineering, and…

…ML platform deployment at scale Familiarity with business-led analytics delivery models and rapid prototyping frameworks Experience with AI/ML governance, prompt engineering, and…

…and practices of the Software Development Life Cycle Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years…

…platform that enable scalable analytics and AI initiatives. AI/ML, No Code and Lo Code are the fastest-growing engineering concepts in the software…

…10+ years of professional software engineering experience, including 5+ years building production ML platforms, systems, or MLOps capabilities. Evidence that platforms or systems you…