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Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• Candidates will typically have 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

• Typically 2 years of experience with data structures or algorithms.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.

• Typically 1 year of experience with AI/ML algorithms and tools (e.g. TensorFlow), deep learning, or natural language processing.

• Experience developing accessible technologies.

Google's 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. 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’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.

The Vertex AI Platform team is introducing cutting edge AI/ML capabilities (including GenAI) to Google Distributed Cloud (GDC) Platform to make it super reliable, performant, cost effective, and simple for GDC customers. As part of this team, you will focus on bringing the best of Google's machine learning investments to Vertex to provide the machine learning infrastructure, tools, and services that power GDC features.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Enable GenAI capabilities on Kubernetes so they can run on Google Distributed Cloud.

• Collaborate with internal teams such as GKE, TensorFlow, Research and Machine Intelligence, and sister teams in Cloud AI in order to use their technology.

• Build highly available, low latency systems.

• Implement robust testing and validation processes to ensure consistent, reliable production services.

• Work with external customers to understand their requirements, onboard them, and help with load tests, bugs, and questions.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.