|Title: Image Processing Software Engineer||Posted: June 20, 2013|
|Company/Institution: Lytro Inc|
|Location: Mountain View, CA|
Lytro is transforming the camera into a powerful computational photography platform and making conventional cameras a thing of the past. The key innovation is “light field” technology, which captures all of the light rays in a scene to create interactive, living pictures. Light field innovation enables unprecedented capabilities, including the ability to focus after a picture is taken, remarkable low-light sensitivity, and 3D viewing. The company was founded in 2006 by CEO Dr. Ren Ng, whose research in light field photography won best PhD dissertation in computer science at Stanford in 2006 as well as the internationally recognized ACM award. Lytro has raised approximately $50 million to date from Andreessen Horowitz, Greylock Partners, NEA, and K9 Ventures along with individual investors.
You are an image processing expert with a proven track record. You are well-versed in and have implemented algorithms for image processing (e.g., computer graphics, computer vision, or camera ISPs). You have a strong background in math, statistical data analysis, and software. You are extremely capable with C++, but will use whatever tools/languages are most efficient to get the job done. You are comfortable with research as well as developing software suitable for product release for consumers. You have an extremely critical eye, and a passion for making every pixel perfect.
You will be responsible for end user image quality for a light field camera system. This responsibility will encompass on-camera and off-camera (desktop or cloud) processing.
SKILLS AND EXPERIENCES
- Experience in image processing and computer vision algorithm development
- Strong C++ programming
- Preferred: Thorough understanding of CMOS image sensors and camera ISP algorithms (AE, AWB, AF)
- Preferred: Experience with multithreaded programming environments or GPUs.
- Critical eye for photographic image quality
- BS or higher in Computer Science or a related field, Masters degree or higher preferred
Application Instructions: Please send your resume to Chia-Kai Liang at email@example.com