Google

Software Engineer III, AI/ML Cloud role at Google, focusing on building and deploying scalable AI/ML platform capabilities for Google Cloud customers. The role involves engineering solutions for LLM serving and tuning, ensuring reliability, performance, and quality, and implementing guardrails and safety gates for the Vertex AI organization. It requires experience in ML infrastructure, model deployment, and potentially speech/audio or reinforcement learning.

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.

Senior Software Engineer to drive technical strategy and architecture for an open-source AI Agent ecosystem, including the Agent Development Kit (ADK). Focus on building foundational libraries, SDKs, and developer tools to simplify the creation, deployment, and management of production-grade AI agents, enhancing developer velocity, reliability, and scale.

Staff Software Engineer role focused on Vector Search Serving infrastructure for Google Cloud's Vertex AI platform, requiring experience with large-scale distributed systems and GenAI concepts.

Software Engineer III role focused on developing GenAI and Vertex-based development tools, including server and middleware code that interacts with LLMs. The role involves integrating next-generation LLMs with a focus on performance and deployment constraints, working closely with AI researchers and product managers.

Senior Software Engineer role focused on building foundational infrastructure for Generative AI agents within Vertex AI Notebooks, a key platform for enterprise AI.

Develop and enhance software solutions for a conversational AI tool that enables users to collaborate with generative AI, augmenting imagination, curiosity, and productivity. The role involves full-stack development on cloud infrastructure, with a focus on shipping AI-powered products.

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.

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.

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.

Senior Research Data Scientist role focused on driving AI product success for Android Tablets by owning the end-to-end data science lifecycle, developing inference algorithms, and estimating user lift using ML/statistical approaches and causal inference.

Senior Software Engineer focused on optimizing AI/ML infrastructure performance across the technical stack, from networking and data storage to ML models, to provide AI developers with a high-performance experience on Google's AI infrastructure. Responsibilities include designing and implementing solutions, optimizing performance, profiling, debugging, and developing tools for AI/ML infrastructure.

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.