Software Engineer: Camera ISP

Responsibilities

• Develop, optimize, and maintain ISP pipelines for camera systems of autonomous driving.
• Collaborate with hardware teams to integrate and fine-tune ISP algorithms.
• Implement and optimize image processing algorithms, including demosaicing, noise reduction, white balance, HDR processing, etc.
• Analyze and improve image quality metrics such as sharpness, color accuracy, and dynamic range.
• Debug and resolve imaging issues related to ISP software and hardware interactions.
• Stay updated with industry trends in computational photography and imaging technologies.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or related field.
• 3+ years of experience in ISP software development or related fields.
• Proficiency in C/C++ and Python for embedded software development.
• Strong understanding of ISP pipelines, image processing algorithms, and camera sensor technologies.
• Knowledge of computational photography techniques and deep learning applications in imaging.
• Familiarity with hardware-accelerated image processing (e.g., GPU, DSP, FPGA).
• Experience with real-time embedded systems and low-level programming.

Preferences

• MS or PhD in Computer Vision, Machine Learning, Computer Graphics, or a related field, or equivalent professional experience.
• Deep expertise in computer vision and machine learning; stay up-to-date with the latest SOTA in these fields.
• Track record of published research in top-tier computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, or other leading forums.

Pay

Salary Range: $75k—$300k USD

Schedule

Remote work is available, but some on-site work may be required depending on the location.

Benefits

Preferable to have a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.