Perception Engineer: Scene Understanding

Responsibilities

• Develop and maintain the scene understanding module by integrating multi-sensor inputs (LiDAR, cameras, radar, weather, etc.) to extract critical perception information for autonomous driving systems.
• Design, implement, test, evaluate the perception system to continuously improve perception performance.
• Responsible for the integration, acceleration, and deployment of the scene understanding module to production environments, ensuring high efficiency and scalability.
• Cross-functional collaboration with engineering, product, and operations teams to ensure seamless integration and optimal performance of the scene understanding module.

Qualifications

• Master’s degree or higher in Computer Science, Automation, Mathematics, or a related technical field.
• 2+ years of experience in developing perception systems for autonomous driving, with expertise in multi-sensor and multi-modal data fusion.
• Hands-on experience with training, optimizing, and deploying deep learning models in production environments.
• Proficiency in Python and/or C++, with deep expertise in at least one deep learning framework (e.g., TensorFlow, PyTorch).
• Strong communication skills, with a proven ability to collaborate effectively in cross-disciplinary teams.
• Ability to manage multiple priorities in a fast-paced, dynamic environment.

Preferences

• Demonstrated achievements in top-tier conferences or journals, or proven contributions to leading benchmark projects.
• Passion for autonomous vehicles, artificial intelligence, and advancing intelligent transportation systems.

Benefits

We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.