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Senior Staff Software Engineer, AI Agent Platform, Vertex
Google
๐จ๐ฆ Canada | ๐ฎ๐ฑ Israel | ๐ฎ๐ณ India | ๐ฏ๐ต Japan | ๐ต๐ฐ Pakistan | ๐ต๐ฑ Poland | ๐ธ๐ฌ Singapore | ๐น๐ผ Taiwan | ๐ฌ๐ง United Kingdom | ๐บ๐ธ United States
On-site
Staff / Principal
1 day ago
PLN 640,000 โ PLN 655,000
- GCP
- AI
- AI/ML
- Machine Learning
- Vertex AI
- Gemini
- i18n
- Load Balancing
- Equity
1 day ago
About the job
Google Cloudโs mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you arenโt just building technology; youโre shaping the frontier of enterprise and driving the evolution of advanced models.As a part of the Cloud AI Agent Platform team (previously known as Vertex), you will focus on building highly differentiated, highly scalable, and easy-to-use GenAI products and services that enable customers to transform their business with GenAI.
You will be responsible for building the high-performance, hyper-scale backend infrastructure that powers the Vertex AI APIs, serving millions of requests and enabling the next-generation of AI-driven applications.
In this role, you will have a unique opportunity to be at the absolute forefront of the Generative AI revolution. You will be building the foundational API layer and infrastructure that serves massive foundation models (like Gemini) to the world. In this role, you will address unprecedented scaling challenges, optimize for ultra-low latency, and design scalable systems that define how developers interact with state-of-the-art AI.
You will operate in a highly dynamic, incredibly fast-paced environment where your work will have an immediate and massive impact on Google Cloud's most strategic product area.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Poland: zล640000 - zล655000 (PLN) + 25% bonus target + equity + benefits
Learn more aboutbenefits at Google.
Minimum qualifications:
- Bachelorโs degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience in systems architecture and large-scale serving infrastructure.
- Experience delivering technical solutions in a changing environment.
- Experience working in multinational or internationalised (i18n) organisations on global initiatives.
Preferred qualifications:
- Masterโs 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.
- 3 years of experience working in a complex, matrix organisations involving cross-functional, cross-timezone or cross-business projects.
- Experience in serving Generative AI models using inference frameworks or hardware accelerators (e.g., GPUs, TPUs).
Responsibilities
- Architect, develop, and maintain robust, horizontally scalable APIs and backend infrastructure tailored specifically for Generative AI workloads.
- Optimize the routing, load balancing, quota management, and data plane mechanisms that connect user API requests to backend ML serving clusters across massive fleets of TPUs and GPUs.
- Prototype and launch new API products rapidly in a fast-paced, highly collaborative environment, rapidly to expose the latest advancements in Google's foundation models.
- Collaborate closely with ML researchers, ML serving teams, and product managers to translate complex AI capabilities into intuitive, highly reliable enterprise-grade APIs.
- Define and implement best practices for API security, high availability, fault tolerance, and comprehensive observability across distributed systems.
Senior Staff Software Engineer, AI Agent Platform, Vertex ยท Google