Googles 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. Were 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.
Join the Vertex AI team and be at the forefront of bringing Googles AI to our customers own infrastructure through Google Distributed Cloud.
As a Software Engineer in the Vertex AI and Hybrid Cloud team, you will use your expertise in Go and Java to build and manage the platform that delivers the Vertex AI stack to external clouds. You will be responsible for the end-to-end delivery of features that deploy and manage powerful AI models like Gemini for our customers.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
responsibilities :
Deliver end-to-end features for Google Distributed Cloud (GDC) that deploy, manage the Gemini and other models.
Deliver code and successfully deploy into production.
Build tests for code and automate running those tests if needed.
Code components to manage Kubernetes cluster in Golang.
Add features to the management plane in Java.
requirements-expected :
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
remote work opportunities
fruits
corporate products and services at discounted prices
