Software Engineer - Perception (Fallback Stack)

Job description

Job responsibilities

• Design, train, and deploy deep learning models for 3D object detection across LiDAR, camera, and radar sensors
• Build multi-sensor fusion architectures that combine independent detection and classification streams
• Characterize perception failure modes, build targeted evaluation sets, and hill-climb system-level metrics
• Build and operate the data engine: shadow-mode comparison against production, automated data mining, and retraining loops
• Contribute to camera- and LiDAR-based localization perception under degraded conditions
• Take your work through the full safety validation pipeline before it operates on public roads

Job requirements

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
• 5+ years of professional experience in ML-based perception, computer vision, or robotics
• Strong proficiency in Python and C++
• Hands-on experience training and deploying deep learning models in production (e.g., PyTorch)
• Solid grounding in classical perception: multi-object tracking, state estimation, and 3D geometry