Software Engineer, Acceleration Platform Team
Software Engineer, Acceleration Platform Team
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a key member of a small and versatile team, you design, test, deploy and maintain software solutions. As a Core Software Engineer in the Acceleration Platform team in Singapore, you will build scalable, AI-native agentic systems that automate complex workflows and eliminate developer toil globally. In this role, you will manage zero-to-one initiatives, shipping resilient features that solve enterprise-scale engineering problems. You will work alongside executive experts to set new standards in AI engineering, growing skills while ensuring our systems remain secure-by-default and highly performant.
The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems.
Responsibilities include architecting agentic ecosystems by leading the design and implementation of highly scalable, fault-tolerant systems where multi-agent networks reason, plan, and execute complex workflows across vast, distributed codebases. Pioneer AI-first engineering by defining best practices for the team and broader organization. Blend traditional distributed systems architecture with advanced Large Language Model (LLM) orchestration, complex Retrieval Augmented Generation (RAG) pipelines, and optimization. Scale evaluations and guardrails by establishing a comprehensive technical strategy for AI safety, architecting automated frameworks that measure performance and enforce security to mitigate across large-scale deployments. Solve the hardest AI problems through managing the most intricate non-deterministic edge cases. Build advanced telemetry and introspection tooling that allows the entire organization to understand, debug, and optimize self-supporting behavior.