Software Engineer III, Manufacturing AI Infrastructure

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.

The Manufacturing AI Infrastructure Team aims to be the core ML and Advanced Analytics enabler within Central Test Engineering, driving Smart Manufacturing through real-time operational intelligence. We provide a comprehensive end-to-end platform that handles the complete data lifecycle, 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.

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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Design and develop components of scalable machine learning (ML) and agentic AI infrastructure for manufacturing.
• Maintain and improve existing AI platform for support of advanced automatic optical inspection.
• Develop and operate scalable back-end for online ML model serving and online inference.
• Develop advanced data collection backend and analytical portal for advanced manufacturing insights.
• Write design documents and participate in design reviews.

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor’s degree in Electrical Engineering, Computer Science, relevant technical field 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) or Agentic AI Development., * Master’s degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures or algorithms.
• Experience developing accessible technologies.

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 alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

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