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.
Requirements
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 8 years of experience with data structures/algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
Responsibilities
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
- Provide technical leadership on high-impact projects.
- Manage project priorities, deadlines, and deliverables.
- Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of state-of-the-art GenAI solutions.
- Develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
- 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.
Other
- Sunnyvale, CA, USA; New York, NY, USA
- Bachelor’s degree or equivalent practical experience.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
