Software Engineer, Computer Vision, Machine Learning

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Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, a related 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++).
• Experience with developing machine learning, computer vision, artificial intelligence, and deep learning algorithms and tools, including TensorFlow, Flume, and other machine learning libraries.
• Experience with image processing, computer vision, and machine learning algorithms.

Preferred qualifications:

• Master's degree or PhD in Engineering, or equivalent practical experience.
• Experience in building and testing consumer electronic products for manufacturing including Design for Manufacturing (DFM) and Design for Test (DFT).
• Experience in building machine learning powered Automatic-Optical-Inspection (AOI) systems including hardware, software, and algorithms.
• Experience with Large Language Model skills (e.g., Gemini AI suite, Vertex AI).
• Ability to travel domestically or internationally up to 25% of the time.

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.

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.

Responsibilities

• Develop solutions in Artificial Intelligence and Machine Learning applications for smart manufacturing.
• Implement and adapt deep learning architecture and the goal to land the factory test stations with a focus on automatic optical inspection solutions for production lines from New Product Introduction (NPI) to Mass Production (MP) stage.
• Understand and debug the computer vision or image processing algorithms to troubleshoot camera or assembly failures.
• Perform failure analysis of the build data (e.g., yield, escape rate) to improve the detection algorithm accuracy and stabilize station hardware setup involving camera optics and lighting conditions.
• Work with Original Design Manufacturer (ODM), Joint Development Manufacturer (JDM) and Contract Manufacturer (CM) partners to maintain the full test station including both hardware and software to production lines.

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 .