We are seeking a talented Embedded System Engineer to contribute to our LiDAR system design and development. The successful candidate will join a vibrant team of engineers that have diverse expertise in light sources, beam delivery, light collection, photodetector, embedded system, and software to create market-leading LiDAR systems. The position requires understanding of modern embedded chip architectures and experiences in high-performance real-time data acquisition and processing algorithms on embedded system.
RESPONSIBILITIES:
- Lead a team of engineers to develop embedded systems that implement high-performance real-time data acquisition and processing algorithms
- Conduct system modeling and analysis
- Document system performance, efficiency, and scalability
- Develop subsystem-level specifications for next-generation products
- Design new embedded systems that meet the subsystem-level specifications
REQUIREMENTS:
- MS degree or equivalent in computer engineering, electrical engineering, or related field
- Comprehensive understanding of modern embedded chip architectures
- 5+ years of embedded system design and analysis experience
- Experience in implementing real-time data acquisition and data processing algorithms on embedded systems
- Experience in the deployment of high-performance embedded systems
BONUS POINTS:
- Experience with open source libraries such as OpenCV
- Experience with ASIC and FPGA
- Experience with GPGPU programming
- Knowledge of deep learning algorithms
ABOUT AQRONOS
AQRONOS’s goal is to create an easier and more enjoyable life to everyone. With this objective, we endeavor to optimize our LiDAR technology to establish a safe, reliable, and comfortable self-driving system and expedite the application of smart robots in daily uses. Our breakthrough R&D projects include self-driving vehicles, security robots, autonomous logistics, etc. AQRONOS will be a platform that brings self-driving technology, robotic technology, and artificial intelligence into people’s revolutionary lifestyles.