UVeye is seeking a highly skilled Software Engineer to join our R&D team. The ideal candidate will work closely with hardware engineers to create efficient, reliable, and scalable embedded solutions for various applications.
?Here’s what you’ll be doing:
* Implement C++ and Python software for data processing, system-level orchestration, and image acquisition.
* Acquire and manage data streams from sensors and imaging devices.
* Develop and maintain highly efficient C++ Code in a dockerized Linux environment
* Collaborate with HW & FW engineers to ensure seamless integration between software and hardware components.
* Develop software that interfaces with embedded systems and MCU-based firmware.
* Design and maintain data pipelines to ensure reliable transfer of heavy data (images/video) from the edge device to cloud environments.
* B.Sc. in Computer Science, Electrical Engineering, equivalent. M.Sc. advantage
* 4+ years of programming with proficiency in Python and C++.
* Experience in data processing and SW implementation of computer vision
* Strong experience working with Linux environments and system-level development (multithreading, processes, memory management).
* Experience with Docker and containerized applications.
* Basic understanding of embedded systems concepts
* Experience interfacing HW with SW via TCP/IP, Ethernet, and Serial.
* Familiarity with cloud services and APIs for data storage and processing
* Experience with interfacing HW (TCP/IP, rs232)
Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses worldwide. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.
UVeye is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.



















