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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Engineer, GDC AI Inference Platform - **Company:** Google LLC - **Location:** Kirkland, WA, United States - **Experience:** Expert - **Salary:** $262,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Bioinformatics, C++ (Programming Language), Cloud Computing, Computer Programming, Data Structures, Distributed Systems, Python (Programming Language), Software Architecture, Reliability Engineering, Software Engineering, AI Infrastructure, Large Language Models, Multi-Agent Systems, Kotlin, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents, Decoding, Docker - **Published:** July 17, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3323259630&tx=TT3734TYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor's degree or equivalent practical experience. * 8 years of experience with software development, programming in C++, Java, Python, Kotlin, or Go. * 5 years of experience testing, and launching software products. * 4 years of experience in technical leadership (as a Tech Lead, Staff, or Principal Engineer) leading the architecture, design, and delivery of large-scale distributed systems or cloud infrastructure platforms. * 3 years of experience with software design and architecture., * Master's degree or PhD in Engineering, Computer Science, or a related technical field. * 8 years of experience with data structures and algorithms. * 5 years of experience in a technical leadership role leading project teams and setting technical direction. * Experience designing orchestration platforms or runtime environments for Agentic AI, focusing on multi-agent coordination, state persistence, tool integration, and secure sandboxed execution. * Deep expertise in ML systems engineering, including optimizing LLM serving architectures (e.g., disaggregated serving, speculative decoding, or high-throughput inference engines) and containerization technologies (Kubernetes, Docker). ## Description * Define the GDC AI infrastructure roadmap for LLM serving and Agentic AI platforms, managing key architectural decisions, technology choices, and system health. * Architect scalable, reliable LLM serving infrastructure, pioneering crucial optimizations like disaggregated serving to maximize resource and hardware efficiency. * Build the core platforms and orchestration tools necessary for multi agent systems, seamless tool integration, state persistence, and secure, isolated execution environments. * Collaborate with AI Research, Site Reliability Engineering (SRE), Product, and core platform teams to align and deliver integrated, production-ready AI solutions. * Resolve ambiguous, high impact systems issues, balancing immediate enterprise customer needs with architectural integrity. 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See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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Current or past grants do not confer an acquired right. ## Related Videos - [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Got AI ideas but no money? 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