Learning-based Planning and Prediction Research Scientist for Autonomous DrivingCR
Learning-based Planning and Prediction Research Scientist for Autonomous DrivingCR
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
We are seeking a Perception Research Scientist to join our cuttingedge team in autonomous driving / industry 4.0 technology. In this role you will conduct advanced research and development to design implement and improve perception algorithms and models for realworld autonomous systems and industry solutions. You will focus on delivering highperformance solutions to achieve safe robust and efficient perception capabilities for vehicles/robots. Experience in deploying perception solutions in real products is a plus such as sensor fusion object detection segmentation localization and tracking etc. This position offers a unique opportunity to advance stateoftheart autonomous driving technology and work with leading researchers and engineers in the field.
Key Responsibilities
- Research and develop scalable planning and prediction systems based on machine learning to generate safe and feasible trajectories for autonomous driving covering aspects such as code implementation model training parameter tuning and iterative optimization.
- Collaborate closely with the perception R&D team to ensure that the developed algorithms efficiently and safely support advanced intelligent driving functions.
- Stay uptodate with cuttingedge machine learning technologies explore their feasibility in autonomous driving prediction and planning propose and implement practical solutions and deploy them in realworld vehicles.
- Have a comprehensive understanding of machine learning algorithms with the ability to quickly adapt to and drive the development of new technologies.
Qualifications :
- Masters degree or above in Computer Science Automation Robotics Artificial Intelligence or a related field with a strong foundation in mathematics and algorithms. Experience in autonomous driving R&D is preferred.
- Familiar with current mainstream machine learning algorithms and proficient in one or more areas of algorithm research including but not limited to CNN transformer diffusion GNN and reinforcement learning.
- Strong programming skills proficient in C and Python languages as well as PyTorch or TensorFlow frameworks. A solid foundation in data structures and algorithms; experience in ACM competitions is preferred.
- Passionate about the autonomous driving industry with excellent communication skills and a strong sense of teamwork.
- Familiarity with traditional motion trajectory planning algorithms is a plus such as A* lattice planner RRT etc.
- Preference will be given to candidates who have published research papers at top conferences such as NeurIPS ICLR ICML CVPR RSS CoRL etc.
Additional Information :
10000
Internal Referral bonus of this vacancy:RMB 10000 (Valid only for Bosch associates). For the detailed regulation please refer to Bosch China Internal Referral Policy.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
