Geo semiconductor - senior imaging engineer

Senior Imaging Engineer

ABOUT GEO SEMICONDUCTOR

GEO Semiconductor (GEO), headquartered in San Jose, CA, is an industry leader in delivering programmable camera video processors to the rapidly growing automotive camera market. GEO’s 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.

POSITION DETAILS:

Located in the San Jose headquarters, you will have the following responsibilities:

• Deliver world-class Image Quality for camera modules across various automotive applications (such as smart backup, digital mirror, surround view, in-cabin monitoring, ADAS) and CFAs (RGGB, RCCB, RGB-IR)
• Identify, define and drive tuning process improvements by developing new test methodologies, IQ metrics, or tuning tools
• Create Image Quality enhancements by implementing ISP algorithm improvements in GEO’s embedded software environment
• Develop and support image sensor drivers and optimize their performance
• Support GEO’s Application Engineering team and customers to productize GEO camera processors for optimal Image Quality for their target application (either human or machine vision).
• Develop training materials and documentation for applications engineers and customers
• Mentor colleagues on Image Quality and Image Processing concepts
• Ideate proof of concepts to highlight ISP technology strengths

REQUIRED QUALIFICATIONS

• MS degree with emphasis in imaging science (EE, CS or physics)
• 3-5 years of professional hands on experience successfully delivering to market fully tuned ISP pipeline for automotive, mobile, consumer, industrial or medical products
• 3-5 years of hands on experience in image quality algorithm development, testing and validation, tuning and troubleshooting in image sensors and/or ISPs
• Knowledgeable in color science, image quality metrics and ISP imaging pipelines
• Comfortable with scripting languages such as Python or Matlab/Octave
• C/C++ programming skills, embedded environment required
• Data driven mindset, scientific methodology and hands-on experimental abilities