Apply share * linkCopy link * emailEmail a friend Minimum qualifications: * Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience. * 2 years of experience of developing camera calibration processes. Preferred qualifications: * Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP). * Experience developing end-to-end calibration solutions (e.g., HW, SW, integration) for imaging systems. * Software development experience in C++ and Python with experience in version control systems. * Knowledge of statistics, spreadsheets, JMP, or Minitab. * Mechanical/HW/SW problem solving and optimization skills. About the job The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. The US base salary range for this full-time position is $126,000-$181,000 + 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 * Develop camera calibration processes in factory and in real-world. * Thermal modeling for cameras and lenses. * Research and innovate computer vision algorithms for mobile and wearable use cases. * Prototype calibrations for new camera use cases and form factors.