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.
Role & Responsibility
1. Develop SDK and API for software integration.
2. Product software and hardware integration, validation, and test.
3. Develop quality infrastructure to meet vehicle functional safety and ISO standard
4. Optimize threads, multi-core, parallel processing, and A.I. processing unit in various of ARM-based car embedded systems.
5. Develop real-time system and inter-process communications between complicated domains.
6. Develop high automation training and testing infrastructure.
7. Build test suite and automation for product and model validation.
Qualification
1. BS or above graduated in EE and Computer Science related fields.
2. Professional programming in C++ and scripting on Linux systems is a must.
3. Experience of programming in real-time embedded systems, particularly the automotive sub-systems, is a plus.
4. Fluent English speaking and reporting.
Preferred Qualification
1. Experience in image processing or computer vision.
2. Experience in ISO26262 or ASPICE.
