Research Scientist - Indoor Networks - Sensing & Localization
Qualifications and Skills:
- Bachelors/MS/Ph.D. in Engineering (CS, EE, others), Mathematics or similar field.
- Prior experience in applying machine learning techniques to multisensory data like radar, lidar, cameras, IMU, GPS, and other sensors.
- Familiarity with SLAM, 3D reconstruction, and calibration.
- Hands-on prototyping skills required.
- Ability to write high-quality code and produce demonstrable results in the real-world application.
- Publications or related contributions to GitHub open source project in the field of computer vision and its applications to robotics field is a strong plus.
- GPU programming experience is preferred.
- Computer skills: Python, C/C++, Linux, Matlab, Tensorflow, Caffe, CUDA
Additional Skills:
- Should be a self-starter, willing to collaborate with multiple teams.
- Ability to work in a fast-paced environment and juggle multiple projects.