Software Engineer, Supply Chain

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

Software Engineer, Supply Chain

Location: Sunnyvale, CA, USA

Experience Level: Mid

Minimum 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 such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• Experience working with one or more generative AI models (e.g., Gemini, OpenAI) during projects, research, or professional experience.

Preferred Qualifications

• Master's degree in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms in either an academic or industry setting.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• Experience working in one or more of the following domains - supply chain, customer products, customer sales.
• Knowledge of software implementation lifecycle (e.g., analyze, design, build, test, implement, support).

About the Job

Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware, our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Salary Range

US: $147,000 - $210,000 (USD) + 15% bonus target + equity + benefits

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, where analysis of situations/scenarios or data requires an in-depth evaluation of variable factors including AI model accuracy.
• Develop, build, and deploy solutions and work closely with business teams to translate business requirements into technical solutions that include ML pipelines implementing regression techniques.
• Maintain highest levels of development practices (on Google Cloud Platform/Google3) including: technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular, and self-sustaining code.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.