Research Engineer, Light Field Imaging

San Francisco

We’re making holographic video a reality!

Virtual reality (VR) and augmented reality (AR) technologies open exciting new possibilities in communication and entertainment, offering to transform the way we interact with computers, each other, and the world. But there are still technological hurdles to overcome to make truly immersive photo-real content possible. Visby is solving these problems: we are building tools for the creation, manipulation, delivery and consumption of holographic video content. This will not only enable mainstream adoption of VR/AR technologies, but will have wide-ranging impact in many fields, like computer vision. We’re working on deep technology, with broad and immediate reach.

We are looking for deeply technical engineers/scientists to join us in developing these next-generation technologies from the ground up.  The ideal candidate has experience and/or an advanced degree in a quantitative field (e.g., electrical engineering, applied mathematics, physics, computer science).  Some knowledge/experience of one or more of the following fields:

- computer vision,
- quantum optics,
- deep learning,
- stochastic calculus,
- image processing,
- image/video compression,
- information/electrical engineering, and/or
- signal processing,

as well as some ability to produce code (Python and C++).

You will be an early hire at a fast-growing (venture-funded) company, so you will define your own position and your role will grow with the company. You will have input into engineering processes and strategy, and will help define the company’s culture.

We are dedicated to a friendly, positive, cooperative and inclusive workplace environment. We value passion and dedication, but also work-life balance: we are generally flexible about hours and telecommuting. We offer competitive compensation packages. We welcome diversity of personal and professional backgrounds, without regard to race, religion, ethnicity, age, gender, sexual identity or expression, medical condition, or socioeconomic status. We're excited to learn what you can contribute to our supportive culture.