Design and implement automation test frameworks for hardware, neural networks, and complex computer vision systems
Keep up with latest technologies and implementing/improving on scalability of this framework for various type of users
Experience and Skills
5-10+ years professional technical experience
BS/MS or Ph.D. in Computer Science, Math, Physics or similarly quantitative-heavy background
Must have worked on delivering a production product
Experience with Mapping for computer vision problems such as object classification, object detection and localization, semantic segmentation
Experience with deep learning frameworks such as Caffe, Theano, Torch, Keras or Tensorflow
Familiarity with OpenCV or other computer vision libraries
Experience with traditional computer vision methods is a bonus
Knowledge of common Machine Learning methods
Knowledge of cameras, IMU sensors, GPS modules and accelerometers.
Proficiency in C/C++, Python, Unix/Linux scripting
Ground floor opportunity with the team; shape the strategic direction of the company
The rare opportunity to change the world such that everyone around you is using the product you built to get around safely. Were not just another app, were moving real people and goods and helping to reinvent transportation and logistics
Sharp, motivated co-workers in a fun office environment
Our office is located in Menlo Park. We believe in a healthy work-life balance. While we work very hard at what we do, we also want you to have room for family, friends, and, of course, yourself. At CYNGN we keep sane work hours so that we can pursue our passions outside of the office.
We offer competitive salaries and an excellent benefits package for all full-time employees. In addition to health insurance and plenty of time off, this includes fully-stocked kitchens, weekly happy hours, shiny new technology, and the occasional in house end of week party.