C++ A.I. Computer Vision Engineer

About the company:
Mindtronic AI is proud being dedicated, willing to take risk, and committed to make happen with our vision in future A.I. technologies. We had formed a core team that fills in the scarce of commodity for transforming the world into a society made of human and robot collaborations. All the founders of Mindtronic AI are well disciplined in R&D manners, by leveraging 20-yrs research experiences from tsmc. This leads to a dozen of accomplishments including that Mindtronic AI is the only one in the world that developed the edge self-learning machine, the only startups in the world that continuously winning 5 times (2018-2022) of CES innovation awards, the champion of startups 2021 in Taiwan selected by German Trade Office, the CES Technology Association rated 10 best startups in the world, and the only company in Taiwan that winning global car OEM businesses in the hottest area of A.I. for automotive. The vision, opportunity, and our capability are clear for making bright success, and we are in a move of IPO in NASDAQ. We are looking for talented, ambitious, and who shared same vision to join us, for a fruitful journey hereafter.

Job overview:
This position involves in developing Embedded Computer Vision applications for intelligent vehicles, specifically to develop driver monitoring(DMS) / advanced driver assistance system(ADAS) functionalities and autonomous driving.
We are looking for an excellent C++ programmer with some knowledge about modern Computer Vision techniques to join our AI Software team and help raise our embedded AI technology to a new level.

Mandatory qualifications and skills:

• Master degree or Phd in Computer Science, Computer Engineering, Electrical Engineering or equivalent.
• Significant C++ development experience.
• Knowledge about modern Computer Vision techniques.

Desirable skills:
Following skills will be a strong plus but are not mandatory.

• Experience with modern development tools and best practices such as Git, CMake, unit testing.
• Experience with embedded systems development (computing / memory budget constraints).
• Experience or significant interest in designing and implementing real-time Computer Vision algorithms.
• Familiar with OpenCV.
• Experience in training Deep Neural Networks with DL frameworks such as Pytorch, Tensorflow, Caffe.
• Experience with Deep Learning inference engines.
• Experience with graphics / compute GPU API.
• Fluent communication in English.