Senior Staff Software Engineer, GenAI, Gemini Cloud Assist
at Alphabet
Posted 3 hours ago
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- Compensation
- $248,000 – $349,000 USD
- City
- San Francisco
- Country
- United States
Currency: $ (USD)
Lead technical direction for GenAI-driven Gemini Cloud Assist, delivering AI/ML powered guidance to Google Cloud customers. Provide technical leadership on projects, drive product usage via AI/ML solutions, and develop strategic roadmaps to improve Cloud Assist across design, deployment, troubleshooting, and optimization. Collaborate with cross-functional Google Cloud teams to align initiatives and translate multi-modal intents into scalable applications, built in line with GCP best practices. This role sits within Google's Gemini Cloud Assist team, focusing on delivering an intuitive, Gemini-powered experience for managing applications in Google Cloud.
Senior Staff Software Engineer, GenAI, Gemini Cloud Assist
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 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.
- 5 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.
About the job
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.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The Cloud Assist team is focused on delivering an intuitive, Gemini-powered experience to assist Google Cloud Platform (GCP) customers in managing their applications in Google Cloud across a variety of products and services. We will provide intelligent guidance to simplify application life-cycle management across design, deployment, troubleshooting, and optimization. We enables translating multi-modal intents into applications that are easy to deploy, secure/governed by default, designed to be troubleshooting-ready, and built in-line with GCP best practices.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.
Responsibilities
- Provide technical leadership on projects.
- Drive expanded product usage and adoption through technological solutions motivated by Artificial Intelligence (AI) and Machine Learning (ML).
- Develop technology strategy and phased plans to drive product improvements or process simplifications.
- Partner with cross-functional leaders across Google Cloud to drive alignment and deliver customer value.
- Identify opportunities to leverage AI and ML, including Generative AI, to improve Cloud Assist experiences.
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