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Posted on 29 July 2026
Work model not stated
Salary range not shared by the company
Visa sponsorship details unknown
This role has closed. It's kept as a record — see Google's open roles or the similar live roles below.
See Google's open rolesGoogle Cloud’s 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 aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
In this role, you will be at the forefront of delivering a notebook experience and building the foundational infrastructure for Generative AI agents. Your contributions will directly enhance Vertex AI Notebooks, as you collaborate with dynamic, cross-functional teams. You will have a passion for learning Google's AI technologies.
You will have experience in languages like Java, Golang, Typescript, or Python, and a background in cloud computing, distributed systems, or microservices. You will have familiarity with Google's production environment or Google Cloud will help guide crucial design and trade-off decisions.
The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Poland: zł364000 - zł373000 (PLN) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Design and implement best developer tools and platform for customers of Vertex AI and Google Cloud Platform (GCP).
Lead the technical execution for major product initiatives, ensuring high-quality and timely delivery.
Work closely with our customers to constantly improve user experience.
Demonstrate a bias for action by balancing product thinking, development, and continuous delivery.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience with full stack development, across back-end (Java, Python, GO, or C++) and front-end (JavaScript or TypeScript, HTML, CSS or equivalent).
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
Master’s degree or PhD in further education, or experience in Engineering, Computer Science, or other technical related field.
5 years of experience with data structures and algorithms.
Experience developing accessible technologies.
Experience in a technical leadership role.
About Google
Google runs core product engineering out of London, Dublin, Zurich, Warsaw and Munich — not support functions. Zurich is one of its largest engineering sites anywhere, and Warsaw has grown substantially. The bar is high and the process is long, but these are genuine product teams.
