Software Engineer, Supply Chain

Socket.dev; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Cloud seeks an AI/ML software engineer to bridge pioneering models with a massive product platform used by billions. You will manage project priorities, design, develop, test, deploy, and maintain software solutions within the AI and Infrastructure team.

In this role you will translate business requirements into technical solutions, implement ML pipelines, and collaborate across teams to deliver scalable AI capabilities at unparalleled scale and velocity.

Qualifications

• Bachelor's degree or equivalent practical experience in CS or related field.
• 2 years of full stack development across backend and frontend.
• Experience with generative AI models (e.g., Gemini, OpenAI).

Responsibilities

• Define and implement solutions to improve internal processes incl. customer ordering.
• Assess and solve complex business challenges, considering AI model accuracy.
• Develop, build, and deploy solutions translating requirements into ML pipelines.
• Maintain high development practices on Google Cloud Platform.

Skills

Full stack development

AI model experience

Backend languages (Java, Python, Golan

Education

Bachelor's degree in CS or related field

Master's degree in CS or related field

Job description

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.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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.