Responsibility:
a. This position requires knowledge and experience in the state estimation of dynamic systems using various sensors in a 3D environment.
b. The responsibilities include preprocessing and modeling sensors, identification of system dynamics, and fusion and estimation of states.
c. The candidate is also responsible for develop, maintain, and improve the integrated estimation system while ensuring maximum availability and accuracy with minimum computational cost.
Minimum qualifications:
a. MS or Ph.D. in Computer Science, Electrical Engineering, or a related technical field.
b. Familiar with at least one of the sensor fusion algorithms such as the Kalman filter, particle filter, or optimization
c. Experience in implementation of state estimation algorithm
d. Experience in handling of practical sensors such as IMU, camera, and odometry.
e. Experience in C/C++ programming.
Preferred qualifications:
a. Domain knowledge or experience in one or more of the following:
1. 3D quaternion dynamics of object
2. State estimation and filtering theory
3. Computer vision
4. Embedded systems
5. Dynamic and stochastic systems
b. Proficient at surveying papers and implementing mathematical equations with the ability to interpret equations and derive own variants
c. Familiar with GIT & Make/CMake tools
市民大道六段288號10樓之9
新馳科技是由一群對自駕車充滿熱忱並曾經任職於全球知名企業的專業人員所共同成立。我們提供讓對於自動駕駛技術有興趣與熱情的研發人才一個實踐所長的舞台。
我們有良好工作環境與福利制度，重視與我們一起成長的員工，不管是技術或專業上的成長提升，公司提供專業的學習及個人成長的空間，歡迎對自駕車懷有夢想抱負的人才，與有相關視覺AI或自駕車開發經驗的優秀工程師朋友，一起加入我們新馳科技團隊的行列。
讓我們透過專業與熱情，一起發展應用科技於未來自駕車產業。