Software Engineering Manager, Generative AI, Large Language Models
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Preferred qualifications:
- Experience in managing people and leading teams.
- Experience with Generative AI.
- Ability to set and achieve ambitious goals, prioritize work, manage resources, and drive AI transformation across the team.
- Ability to set expectations, provide feedback and coaching, invest in team members development, and hire/build high-performing teams.
- Excellent technical skills aligning with the software engineering role profile, including skills in areas like systems architecture, software testing, and debugging.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The mission of the Vertex Inference on hybrid clouds is to introduce AI/ML capabilities (including Generative AI, Machine Learning Operations (MLOps), etc.) to Google Cloud, and make it super reliable, performant, cost effective, flexible, and simple for Google Cloud customers. This team will be focusing on bringing the best of Google’s machine learning investments, including Large Language Model (LLM) serving and tuning and more, along with cloud and Operational Support Systems (OSS) technologies to provide the ML infrastructure, tools and services that powers Google Cloud customers. The platform aims at researchers, data scientists, and data engineers across enterprises, startups and solution providers.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
Responsibilities
- Lead and inspire a team of talented engineers in designing, developing, and deploying, easy-to-use and scalable AI/ML platform capabilities.
- Build and motivate a high-functioning team of Software Engineers with expertise in Vertex AI on cloud.
- Enable Generative AI capabilities on Google Cloud.
- Delegate tasks effectively, empower team members to take ownership, and provide constructive feedback for continuous growth.
- Foster a collaborative work environment, promoting open communication and knowledge sharing.
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