About the Role
Key Work/Projects
- Driving dataset: To accelerate the path to L4 autonomy by designing and building AV 2.0 technology, we work on sensor data collection, processing, labeling, indexing and search to build comprehensive driving scenarios.
- AI systems: Building AI systems to extract the maximum value out of Uber’s worldwide operations, such as perception modeling and semantic understanding.
- - - - What the Candidate Will Do ----
- Design and implement scalable solutions for AV technology.
- Apply and evaluate the latest machine learning techniques for AV 2.0.
- - - - Basic Qualifications ----
- 5 years of working experience in the Autonomous Vehicles industry
- Deep understanding in the perception field.
- Understand AV 1.0 and AV 2.0 technologies end to end.
- Bachelor degree in computer science, computer engineering or related fields.
- Proficient in Python and Linux.
- Familiar with OpenCV, TensorFlow/PyTorch.
- - - - Preferred Qualifications ----
- Master or PhD degree in computer vision or robotics.
- Familiar with C++
- Familiar with the Robot Operating System.
For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.