Senior Software Engineer - Perception
Build and deploy machine-learning perception systems for L4 autonomous trucks, spanning multimodal 3D detection, sensor fusion, tracking, localization, and safety validation. Requires 5+ years of perception, computer vision, or robotics experience with strong Python and C++ skills.
About the job
Responsibilities
- Design, train, and deploy deep learning models for 3D object detection across LiDAR, camera, and radar sensors.
- Build multi-sensor fusion architectures combining independent detection and classification streams.
- Characterize perception failure modes, build targeted evaluation sets, and improve system-level metrics.
- Build and operate the data engine, including shadow-mode comparison against production, automated data mining, and retraining loops.
- Contribute to camera- and LiDAR-based localization perception under degraded conditions.
- Take work through the full safety validation pipeline before deployment on public roads.
- Collaborate with behavior and planning engineers, systems and safety engineers, and validation teams.
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, such as PyTorch.
- Strong foundation in classical perception, including multi-object tracking, state estimation, and 3D geometry.
Nice to Have
- Experience with modern ML-based perception for autonomous systems.
- Experience with multi-sensor calibration and fusion.
- Experience optimizing models for onboard or embedded GPU inference.
- Background in safety-critical or automotive software development.
- Experience in a startup or fast-paced environment.
Skills
Python, C++, PyTorch, Deep Learning, Computer Vision, Machine Learning, 3D Object Detection, Lidar, Radar, Multi-Sensor Fusion, Multi-Object Tracking, State Estimation, 3D Geometry, Model Optimization, Gpu Inference
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