Salary
💰 $173,000 - $278,000 per year
About the role
- Build novel architectures for classifying and understanding complex and dynamic urban environments
- Work with sensor data and infrastructure for testing and validating perception algorithms
- Create algorithms for segmentation, tracking, classification, and high-level scene understanding
- Develop perception pipelines that work with real data in rapidly changing and uncertain environments
Requirements
- Master's degree or PhD in computer science or related field
- Fluency in C++
- Experience with modern computer vision techniques
- Extensive experience with programming and algorithm design
- Demonstrated ability to create functional realtime systems that solve difficult perception tasks
- Experience handling large data sets efficiently
- Strong mathematical skills and understanding of probabilistic techniques
- Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
- Experience with autonomous robots
- Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)
- Experience with novel pipelines and architectures for convolutional neural nets
- Experience with 3D data and representations (pointclouds, meshes, etc.)