Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience building and developing large-scale infrastructure or distributed systems.
- 5 years of experience with design and architecture; and testing/launching software products.
- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in matrixed organization involving cross-functional, or cross-business projects.
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About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
Vertex GenAI - Infrastructure and Features team develops and scales the foundational inference serving infrastructure for Google's leading AI models, including Gemini, Imagen, and Embedding models. in this role, you will focus on building high-performance, distributed systems that enable efficient and scalable deployment of these models, reaching billions of users globally. Key initiatives include optimizing inference latency, maximizing throughput, and ensuring high availability for large-scale GenAI applications. You will work on critical areas such as performance optimization, distributed caching, and advanced resource management, driving solutions for high-scale AI problems.
Responsibilities
- Provide technical leadership on high-impact projects.
- Influence and coach a distributed team of engineers.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Manage project priorities, deadlines, and deliverables.
- Design, develop, and maintain the infrastructure behind Vertex AI's GenAI APIs, ensuring scalability, reliability, and performance.