Perception Algorithm Engineer (Middle-Level)

We are seeking a skilled Perception Algorithm Engineer with intermediate experience, proficient in C++ and Python, to join our dynamic team. The ideal candidate will focus on developing and optimizing perception algorithms that leverage LiDAR and camera data for object detection, tracking, and sensor fusion. This role involves close collaboration with cross-functional teams to integrate these algorithms into automotive-grade platforms and contribute to the advancement of autonomous driving technologies.

Key Responsibilities:
- Develop and optimize perception algorithms for object detection, tracking, and fusion using LiDAR and camera inputs.
- Support the integration of perception algorithms into automotive-grade platforms, ensuring reliability and performance.
- Contribute to the design and development of Bird’s Eye View (BEV) and multi-sensor fusion models.
- Assist in designing and testing cross-module interfaces between perception and planning/localization components.
- Participate in data collection, labeling, and analysis to support training and validation processes.
- Maintain thorough documentation and collaborate effectively with team members throughout development cycles.
- Engage in real-vehicle and simulation-based testing and evaluation to validate algorithm performance.

Required Qualifications:
- Bachelor’s degree or higher in Computer Science, Robotics, Electrical Engineering, or related fields.
- Minimum of 2 years’ experience in perception algorithm development.
- Proven experience with object detection and tracking models, as well as LiDAR processing algorithms.
- Proficiency in C++, Python, and deep learning frameworks.
- Familiarity with Git version control and command-line tools.
- Understanding of automotive-grade platforms and basic model deployment workflows.
- Strong knowledge of sensor fusion and calibration principles.
- Hands-on experience with YOLO, BEVFusion, CenterPoint, and PointPillars series is essential.
- Fluency in English for effective communication within an international team.

Preferred Qualifications and Benefits:
- Experience working with PCL (Point Cloud Library), OpenCV, and Linux development environments.
- Awareness of real-time constraints and performance considerations in autonomous systems.
- Exposure to perception test environments or vehicle integration workflows is advantageous.

SoftwareMotion Co., Ltd. specializes in intelligent driving controller systems and autonomous vehicle technologies. The company develops innovative solutions for unmanned logistics vehicles, smart transportation systems, and advanced vehicle control. Partnering with leading automotive manufacturers such as JAC Motors and China National Heavy Duty Truck Group, SoftwareMotion focuses on mass-producing advanced assisted driving functions below Level 3 autonomy. The company’s technology foundation includes a high-computing driving platform and multi-sensor fusion capabilities.

By combining full-stack algorithm software with integrated software-hardware platforms, SoftwareMotion delivers comprehensive end-to-end solutions tailored for OEMs and Tier 1 suppliers. Team members have the opportunity to work with cutting-edge autonomous driving technologies alongside world-class engineering teams, contributing to the future of intelligent mobility.