Software Engineer, Auto Focus, Pixel Camera
Job Summary
Google seeks a Software Engineer for its Pixel Camera Auto Focus team in New Taipei City, Taiwan. Responsibilities include designing automated tuning/testing/simulation methodologies, collaborating with sensor and module vendors, integrating new technologies into Google products, optimizing algorithms for device platforms, and developing auto-focus algorithms (PDAF, LDAF, Contrast AF) for mobile cameras. The ideal candidate possesses a Bachelor's degree (Master's/PhD preferred) in Computer Science or a related field, 2+ years of software development experience (involving data structures and algorithms), and 2+ years of experience with machine learning algorithms and tools (e.g., TensorFlow). Experience with Large Language Models, NLP, or Generative AI is also required. Experience with Android mobile phones, mobile chipset vendors, and camera software domains (camera driver, HAL, framework) is preferred.
Must Have
- Bachelor's degree in CS or related field
- 2+ years software development experience
- 2+ years ML algorithm experience (TensorFlow)
- Experience with LLM, NLP, or Generative AI
- Develop auto-focus algorithms for mobile cameras
Good to Have
- Master's/PhD in CS
- Android mobile phone experience
- Mobile chipset vendor experience
- Camera software domain knowledge (driver, HAL, framework)
Job Description
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.
- 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
- Experience with Large Language Models, NLP, or Generative AI.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experiences in working with Android mobile phone.
- Experiences with a mobile chipset vendors.
- Experiences in ML and TensorFlow
- Knowledge or experience in camera software domains such as camera driver, hal, and framework.
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
- Design methodology for automated tuning/testing/simulation to reduce manual labor.
- Engage with different sensor and module vendors and incorporate the new technology into Google products. Work with different SOC vendors to integrate the algorithms onto their platforms.
- Implement, optimize, and integrate the algorithms onto device platform goals.
- Develop auto focus, PDAF (Phase Diff Auto Focus), LDAF (Laser Detection Auto Focus) and Contrast AF algorithms or any ISP blocks for mobile device cameras.