Senior Software Engineer, Earth AI, Research

Senior Software Engineer, Earth AI, Research

Mountain View, CA, USA;
San Francisco, CA, USA

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X Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA;
San Francisco, CA, USA
.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Python or C++.
• Experience designing and implementing generative AI agents, including prompt engineering, multiturn reasoning, and tool use.
• Experience implementing core AI algorithms or concepts.
• Experience designing and implementing software systems, including testing, code review, and debugging.

• Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
• Experience building and maintaining evaluation frameworks or data pipelines for machine learning models.
• Experience working with geospatial data, satellite imagery, or large-scale environmental datasets.
• Familiarity with Large Language Models (LLMs), generative AI, or multiagent systems.

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.

Earth

AI is a frontier initiative at Google Research to build advanced planetary foundation models and bring it together with Gemini-based reasoning to understand, plan, and act to help address critical challenges of our time. Our team develops models that interpret the world's physical dynamics – from global mobility and population shifts to environmental signals – transforming the entire planet into an interactive environment for understanding and reasoning.

You will work closely with our research team to bridge the gap between cutting-edge research and scalable engineering to take Earth AI Agents from research to production. You will play a critical role in building production-grade agentic features, evaluation frameworks, and data pipelines necessary to validate and deploy multimodal generative AI and agentic systems at a massive scale.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and…