Software Engineer - Perception (Fallback Stack)
- 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
- 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
- Experience working in modern ML-based perception for autonomous systems
- Experience with multi-sensor calibration and fusion
- Experience optimizing models for onboard/embedded GPU inference
- Background in safety-critical or automotive software development
- Experience in a startup or fast-paced environment
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