SLAM Engineer
| Company | 42dot |
|---|---|
| Location | Mountain View, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- Minimum of 3 years of work experience (excluding master’s and doctoral periods)
- Master’s or PhD degree, or equivalent experience, in computer vision, robotics, or a related field
- Theoretical and practical knowledge in robotics and computer vision
- Production-level programming skills in modern C++
Responsibilities
- Develop state-of-the-art localization, mapping and calibration algorithms to enhance autonomous driving technology.
- Design and validate online and offline state estimation algorithms by fusing sensor data such as cameras, IMUs, and so on.
- Focus on 3D geometry aspects such as VSLAM, VIO, and SfM.
- Develop algorithms for motion estimation, matching, and tracking in 3D environments.
- Implement non-linear optimization techniques to improve algorithm performance.
- Lead efforts in sensor calibration to ensure accurate perception capabilities for autonomous vehicles.
Preferred Qualifications
- Experience in research and development related to autonomous driving and robotics
- Development experience using various sensors such as GPS, IMU, and cameras
- Experience in developing VR/AR applications
- Experience in parallel programming and system optimization