AI Planning Expert_XC
Munkamód
On-site
Munkaterületek
Mérnöki
Csatlakozás mint
Szakember
Kezdés dátum
Rendezés szerint
Munkaidő
Teljes munkaidő
Divízió
Cross-Domain Computing Solutions
Feladatok
- Responsible for the design and coding of AI Planning models.
- Responsible for creating training datasets, including mining real vehicle data and constructing simulation data.
- Responsible for the design and coding of preprocessing and postprocessing for AI Planning models.
- Responsible for the evaluation of AI Planning models, including open-loop and closed-loop evaluations in both simulations and real-world vehicle tests.
A profilod - Master’s or PhD degree from a well-known domestic or international university in Computer Science, Artificial Intelligence, Software Engineering, Automation, Vehicle Engineering, Mechatronics, Electronic Engineering, or related fields, with more than 3 years of work experience.
- Strong programming skills, familiar with C++ and Python, and proficient in frameworks like PyTorch or TensorFlow; familiar with common data structures.
- Solid foundation in AI theory, with rich research or engineering experience in at least two of the following technical areas: CNN, RNN/GRU/LSTM, Transformer, GNN, Diffusion, Imitative Learning, Reinforcement Learning, etc.
- Passionate about the autonomous driving industry, with good communication skills and a strong sense of teamwork.
- Bonus points: Experience in end-to-end autonomous driving R&D.
- Bonus points: Experience in the mass production of advanced intelligent driving systems.
- Bonus points: Publications in top AI conferences/journals (e.g., CVPR, ICLR, NeurIPS, ICML, etc.).
- Master’s or PhD degree from a well-known domestic or international university in Computer Science, Artificial Intelligence, Software Engineering, Automation, Vehicle Engineering, Mechatronics, Electronic Engineering, or related fields, with more than 3 years of work experience.
- Strong programming skills, familiar with C++ and Python, and proficient in frameworks like PyTorch or TensorFlow; familiar with common data structures.
- Solid foundation in AI theory, with rich research or engineering experience in at least two of the following technical areas: CNN, RNN/GRU/LSTM, Transformer, GNN, Diffusion, Imitative Learning, Reinforcement Learning, etc.
- Passionate about the autonomous driving industry, with good communication skills and a strong sense of teamwork.
- Bonus points: Experience in end-to-end autonomous driving R&D.
- Bonus points: Experience in the mass production of advanced intelligent driving systems.
- Bonus points: Publications in top AI conferences/journals (e.g., CVPR, ICLR, NeurIPS, ICML, etc.).
