Google Software Engineer, Google Cloud Applications AI

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Job Details

Posted date: Jun 06, 2025

There have been 2 jobs posted with the title of Software Engineer, Google Cloud Applications AI all time at Google.
There have been 2 Software Engineer, Google Cloud Applications AI jobs posted in the last month.

Location: Kirkland, WA

Level: Senior

Estimated salary: $171,500
Range: $141,000 - $202,000


Description

Develop and scale the Food AI platform to accommodate a growing customer base. Use a data-driven approach to analyze opportunities for improvement in Food AI, propose innovative solutions and collaborate with relevant teams to land them. Take full ownership of the Food AI feature development life-cycle from initial idea experimentation, design, implementation, deployment, monitoring, and ongoing optimization. Partner with various Vertex and Gemini teams to improve the quality of the foundation Large Language Model (LLM) and speech-to-text model.

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.

Our Team mission is to revolutionize the restaurant industry by streamlining the drive-thru experience, empowering businesses to operate more efficiently, and enhancing customer satisfaction. We leverage Gemini to develop intelligent food ordering bots that provide a natural, efficient, and friendly ordering experience for customers.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

The US base salary range for this full-time position is $141,000-$202,000 + 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 do not include bonus, equity, or benefits. Learn more about benefits at Google.



Qualifications

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. 2 years of experience in scripting or automation using Python, Shell, or Go. 1 year of experience in ML performance, large-scale systems data analysis, ML debugging, LLMs, or specialized areas within ML.

Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience developing accessible technologies. Experience in building products using Machine Learning techniques including Natural Language Processing (NLP).

Extended Qualifications

Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. 2 years of experience in scripting or automation using Python, Shell, or Go. 1 year of experience in ML performance, large-scale systems data analysis, ML debugging, LLMs, or specialized areas within ML.

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