Image Signal Processor Tuning Engineer

Please find below Job description for further process. Samsung R&D India is inviting you to be part of World’s best Camera Team. We are looking for passionate and dynamic technologist who can produce pleasing images from a camera to win the hearts and minds of our customer from India. It is a unique skill and need expertize in a multi-disciplinary domain that blends engineering, science, Art and consumer satisfaction together. A critical and complex activity that has a direct impact on company’s brand image. We invite you to be part of this exciting journey where you will have complete ownership to design, develop and execute from India for Global Market We are looking for: · Passionate engineer who can bring in expertise in Physics of light, Colour science, 3A (Auto exposure, Auto white balance, Auto focus) and imaging pipeline to improve sharpness, noise and colour tone in a camera. · Hands-on engineer who loves experimenting with imaging pipeline to produce best quality images in camera lab and outdoor scenario. · Problem solver and Investigative mind who likes to re-create reported issues in a camera lab and loves to find simple solutions by analysing and debugging data/ images captured from lab/indoor/outdoor scenarios. · Innovative mind who can design and develop tuning methodologies to analyse, correlate and improve the image quality for single, dual, multi-camera configuration. · Humble and Receptive person who can accept consumer feedback and convert that feedback to engineering requirements. · Collaborator who can break all the barriers to collaborate and communicate with cross-functional teams like hardware, optics, sensors, firmware ,QA, camera system and External partners to successfully deliver best in class camera without affecting the schedule in an agile manner. Qualification: · B.Tech, BE, MS in Electronics, Electrical Engineering, Computer Science, or equivalent · Minimum 3 years of experience in ISP tuning or Image sensors or Color Science · Expertise in image processing pipelines, image quality metrics and assessment