Software Engineer, Supply Chain — AI & Data Solutions

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Cloud seeks a Software Engineer, Supply Chain, in Sunnyvale to bridge cutting-edge AI models with enterprise-scale products. You will shape solutions, manage priorities, and deliver software through design, build, test, and deployment cycles, collaborating with teams worldwide.

The position emphasizes building scalable AI-powered infrastructure and contributing to rapid development with a bias to action, while aligning with Google's culture of empowerment.

Qualifications

• Bachelor's Degree in Computer Science, Information Systems and Technology, a related field, or equivalent practical experience.
• 2 years of experience with full stack development across back-end and front-end, including Java, Python, Golang, or C++ and JavaScript/TypeScript, HTML, CSS.
• Experience with one or more generative AI models (e.g., Gemini, OpenAI).

Responsibilities

• Partner with internal teams to define and implement solutions that improve internal business processes including customer ordering.
• Identify, assess, estimate, and solve complex business challenges with in-depth data evaluation and AI model accuracy considerations.
• Develop, build, and deploy solutions and translate business requirements into technical solutions with ML pipelines implementing regression techniques.
• Maintain development practices on Google Cloud Platform including design, development, testing, deployment, and documentation.

Skills

Java

Python

Golang

C++

JavaScript/TypeScript

HTML/CSS

Generative AI models

Education

Bachelor's degree in CS/IST

Job description

Google Cloud seeks a Software Engineer, Supply Chain, in Sunnyvale to bridge cutting-edge AI models with enterprise-scale products. You will shape solutions, manage priorities, and deliver software through design, build, test, and deployment cycles, collaborating with teams worldwide.

The position emphasizes building scalable AI-powered infrastructure and contributing to rapid development with a bias to action, while aligning with Google's culture of empowerment.