Full-Time ISP Firmware Engineer
Headquartered in San Jose, CA, is an industry leader in delivering programmable camera video processors to the rapidly growing automotive camera market. Our products feature advanced image signal processing, unique eWARP® processing technology, and state of the art neural network-based computer vision solutions. GEO ships camera video processors in diverse automotive applications such as ADAS, autonomy, in-cabin monitoring, digital mirrors, smart backup and augmented reality cameras.
Located in the San Jose headquarters, you will have the following responsibilities:
Design, develop, verify and optimize 3A firmware algorithms on our high-performance ICs
Architect and implement real-time control firmware for ISP pipeline blocks including image enhancement, noise reduction, high dynamic range and other image processing tasks
Support integration of image sensor configurations into our embedded real-time environment
Support our Image Quality and Application Engineering teams to realize customer productization of our ISPs in human and machine vision automotive applications
Continually improve our embedded software while supporting lab validation environments for competitive benchmarking and Image Quality (IQ) enhancements
Write training materials and documentation for applications engineers and customers
BS, MS or PhD degree in imaging science, EE, CS, physics or equivalent years of on-the-job experience
Strong programming skills in C/C++ (must-have) and MATLAB/Python (good-to-have)
Prior professional hands-on experience successfully implementing embedded firmware solutions with real-time constraints in the field of image processing.
Expertise in ISP imaging pipelines, HDR architectures, color science and image quality metrics
Data driven mindset, scientific methodology and hands-on experimental abilities
Experience with imaging processors, and quality enhancements..
Strong tuning and quality metrics experience, with video and/or camera imaging.
ISP Image Processing Pipeline experience..
Experienced in Image quality algorithm development, implementation, and improvements.