Job Description

ISP Firmware Engineer

Experience level: Mid-senior

Experience required: 5 Years

Education level: Bachelor’s degree

Job function: Information Technology

Industry: Semiconductors

Compensation: $171,000 - $200,000

Total position: 1

Relocation assistance: Yes

Visa : Only US citizens and Greencard holders

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:

• Design, develop, verify and optimize 3A firmware algorithms on GEO’s 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 GEO’s embedded real-time environment
• Support GEO’s Image Quality and Application Engineering teams to realize customer productization of GEO ISPs in human and machine vision automotive applications
• Continually improve GEO’s 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

REQUIRED QUALIFICATIONS

• 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