AI Application Engineer

Google Location: Austin, TX, USA Position Level: Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Required Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience. 8 years of experience in software development, with a focus on building end-to-end web applications and data pipelines. Preferred Qualifications Master’s degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field. 2 years of experience in data pipelines and analytics. 2 years of experience developing and deploying AI/ML solutions, including AI agents, Large Language Models (LLMs), or advanced statistical models in a production environment. Experience in technical leadership, project management, and executive communication. Experience setting up manufacturing assembly processes, driving product launches and assembly process optimization within manufacturing operations. About the Job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google’s direct-to-consumer products. You’ll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Build intelligent software solutions that optimize our data center hardware and processes. In this role, you will go beyond traditional software engineering by building autonomous AI agents and advanced analytics pipelines that turn massive, complex datasets into real‑time, actionable business insights. You will serve as a technical lead, collaborating with cross‑functional stakeholders to drive automation and innovation. Responsibilities Design, develop, and maintain robust, scalable web applications that deliver automated, real‑time insights for Google’s data center hardware and operational processes. Create and deploy intelligent AI agents to automate complex workflows. Lead the foundational development required to power these agents, including data discovery, data quality validation, robust data pipelines, and secure API creation. Apply AI/ML techniques and rigorous statistical methods to solve complex operational challenges and predict hardware/process anomalies. Partner closely with business leaders and cross‑functional teams to deeply understand root needs, translate them into technical roadmaps, and continuously iterate on solutions to maximize business impact. Identify inefficiencies and pioneer opportunities to automate manual processes both within the immediate team and across the broader organization. US: $144,000 - $209,000 (USD) + 15% bonus target + equity + benefits Benefits include equity, competitive bonuses, and comprehensive benefits packages. Equal Opportunity Employer 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. English proficiency is required for all roles unless otherwise stated. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr Google Inc.