Software Engineer, Manufacture AI Infrastructure

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Java, Python, C/C++, JavaScript).
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• Experience with Machine Learning infrastructure (e.g., model deployment, model evaluation, model serving, data processing, debugging, and fine tuning.).
• Experience with Machine Learning, LLM, and GenAI technologies.
• Experience with manufacturing software development.
• Experience coding in C++, Java and Python.
• Strong collaboration skills.

About The Job
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.

In this role, you will provide a comprehensive end-to-end platform that handles the complete data life cycle, from scalable data ingestion and processing to advanced model training and automated deployment. This integrated system is designed to seamlessly transform raw factory data into actionable Analytics Insights, empowering our partners to rapidly develop, deploy, and monitor robust AI-driven solutions.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

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 .

Responsibilities

• Design and develop components of scalable Machine Learning infrastructure for Manufacturing.
• Maintain and improve existing AI platform for support of advanced Automatic Optical Inspection.
• Develop and operate scalable back-end for online Machine Learning model serving and online inference.
• Develop advanced data collection back end and analytical portal for advanced manufacturing insights.
• Write design documents and participate in design reviews.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .