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Job summary
A technology company in San Jose, California, seeks a seasoned algorithm developer to enhance sensor fusion capabilities for real-time tracking and mapping systems. The ideal candidate will have a robust background in computer vision, inertial sensing, and robotics, empowered to create advanced algorithms and systems. With a collaborative team setting, this role demands proficiency in C++/Python and experiences with real-time processing and benchmarks that contribute to pioneering development in the field.
Qualifications
5+ years of academic or industry experience in inertial sensing, computer vision, or robotics.
Strong background in linear algebra, SLAM, VIO, and structure-from-motion.
Proficient in C++/Python with experience in real-time optimization.
Familiar with libraries such as OpenCV and Ceres.
Experience with real-time processing pipelines on embedded or edge hardware.
Responsibilities
Develop and optimize sensor fusion algorithms for SLAM and VIO.
Implement structure-from-motion techniques for 3D reconstructions.
Build calibration and sync pipelines across multiple sensor types.
Collaborate with teams to ensure system performance.
Skills
Linear algebra
SLAM
VIO
C++
Python
Real-time optimization
Embedded hardware
Probabilistic estimation
Education
BS in Computer Science, Robotics, or related fields
MS in related fields
Tools
OpenCV
Ceres
Job description
A technology company in San Jose, California, seeks a seasoned algorithm developer to enhance sensor fusion capabilities for real-time tracking and mapping systems. The ideal candidate will have a robust background in computer vision, inertial sensing, and robotics, empowered to create advanced algorithms and systems. With a collaborative team setting, this role demands proficiency in C++/Python and experiences with real-time processing and benchmarks that contribute to pioneering development in the field.