Perception Model Engineer

We are seeking a motivated and detail-oriented professional to join our team focused on autonomous driving technologies. The ideal candidate will contribute to data management, algorithm development, and model optimization within intelligent driving systems. This role involves collaboration across multiple teams to enhance the performance and deployment of cutting-edge autonomous driving solutions.

Key Responsibilities:
- Manage the full lifecycle of autonomous driving data, including collection, cleaning, annotation, quality assurance, and constructing data loops.
- Contribute to the design of annotation specifications and work on improving annotation tools and workflows to increase efficiency and accuracy.
- Conduct research on algorithm selection, reproduction, and benchmarking to support intelligent driving initiatives.
- Train, evaluate, fine-tune, and optimize deep learning models to meet project requirements.
- Continuously iterate and enhance intelligent driving algorithms, focusing on improving accuracy, robustness, latency, and resource efficiency.
- Engage in algorithm research and design, stay updated with the latest technological advancements, and produce comprehensive technical documentation.
- Collaborate closely with teams across perception, planning/control, engineering, product management, and data science to ensure successful algorithm deployment.

Required Qualifications:
- Master’s degree or higher in Mathematics, Physics, Computer Science, Electronic Engineering, Robotics, Artificial Intelligence, or a related discipline.
- Fresh graduates are welcome; a strong foundation in mathematics, Python programming, and deep learning principles is essential.
- For experienced candidates, solid proficiency in Python and deep learning fundamentals is required, along with familiarity with at least one major framework such as PyTorch.
- Demonstrated strong logical thinking, effective communication skills, and a high level of responsibility.
- Proficiency in English sufficient for cross-cultural and cross-functional collaboration.
- Knowledge in areas such as intelligent driving, autonomous driving, computer vision, point cloud processing, sensor fusion, SLAM, or planning/control is advantageous.

Preferred Qualifications and Benefits:
- Experience working on autonomous driving, Advanced Driver Assistance Systems (ADAS), or robotics projects.
- Familiarity with datasets and tools such as KITTI, nuScenes, Waymo, CARLA, or ROSbag.
- Skills in C++, Linux, ROS, Git, Docker, or CUDA are highly desirable.
- Contributions to the field through publications, participation in competitions, open-source projects, or patents will be considered a strong plus.

This position offers the opportunity to work at the forefront of autonomous driving technology, contributing to innovative solutions that shape the future of intelligent transportation. If you are passionate about autonomous systems and eager to grow your expertise in a collaborative environment, we encourage you to apply.