The Imaging Engineer will be a key member of indie's Vision Business Unit, working within the Image Signal Processing (ISP) team, which consistently delivers best-in-class automotive image quality powered by indie's high-performance current and next-generation ICs. This position requires close collaboration with teams focused on imaging algorithms, firmware development, and software tools.
Responsibilities ---------------
Design, develop, verify, and optimize real-time ISP algorithms-including auto-exposure, auto-white-balance, and auto-flicker-detection-on indie's Vision ICs.
Implement and deploy real-time control firmware for ISP pipeline blocks such as image enhancement, noise reduction, high dynamic range, and related image processing functions.
Improve indie's embedded software through ongoing collaboration with the Image Quality, Camera Host Tools, and Vision Embedded Software teams.
Support research and development of next-generation sensor fusion and machine learning solutions.
Work with the Vision Platform Engineering team to support image sensor driver development, maintenance, and performance optimization across various camera modules and target applications.
Provide guidance and support to the Image Quality and Application Engineering teams to enable successful customer productization of indie's ISPs for human and machine vision applications.
Develop and maintain training materials and documentation for Applications Engineers and customers.
Requirements -------------
Bachelor's degree + 3 years of experience; or Master's + 2 years; or Ph.D. + 1 year.
Degree in Electrical/Electronics Engineering, Computer Engineering/Science, Mechanical/Mechatronics, or Imaging Science, with emphasis on signal/image processing or control systems.
Strong programming skills in C (required); familiarity with C++, MATLAB, and Python (preferred).
Professional, hands-on experience implementing embedded firmware solutions with real-time constraints in image processing or a related field.
Experience delivering ISP pipeline solutions for automotive, mobile, consumer, industrial, or medical products is highly desirable.
Strong data-driven mindset, scientific approach, and hands-on experimental abilities.