Staff Software Engineer, Cloud AI Gemini Enterprise
Google · Posted Nov 2
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The Gemini Enterprise agent platform empowers businesses to build agentic experiences and drive goals, delivering tools for providers to integrate APIs via Model Context Protocol (MCP)/skills, evaluate, and optimize them, along with admin capabilities, latency optimization, code generation and execution, and policy checks. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and other industries, collaborating with product teams to bring innovations to real-world impact. This staff engineering role provides technical leadership on high-impact projects, designs frameworks to optimize reliability, quality and configurability, and works on state-of-the-art methods enabling agentic experiences for enterprise customers.
What you will do
- Collaborate with other gemini enterprise teams to build long term differentiation. Provide technical leadership on high-impact projects.
- Design and implement frameworks/techniques to optimize for reliability, quality and configurability. Influence and coach a distributed team of engineers.
- Help support customer issues and participate in on-call duties as needed. Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Manage project priorities, deadlines, and deliverables. Work on State of the art methods to enable agentic experiences for Google Cloud's enterprise customers.
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
Skills used in this role
What the employer is looking for
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 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).
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.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience building and understanding agentic AI, large language models (LLMs), and their application in customer-facing products.
- Experience with generative AI and building agentic systems
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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