Senior Software Engineer - Perception
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Summary
Senior engineer building safety-critical perception for L4 autonomous trucks in Tokyo: design, train, and deploy deep learning models for 3D detection across LiDAR, camera, and radar, build sensor-fusion architectures, run data/retraining loops, and take systems through safety validation before public-road deployment.
You will build safety-critical perception systems for L4 autonomous trucks. You will design, train, and deploy deep learning models for 3D detection across LiDAR, camera, and radar sensors; build sensor-fusion architectures; evaluate failure modes; operate data and retraining loops; support localization; and complete safety validation before public-road deployment.
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 data-engine workflows including shadow-mode comparison, 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 public-road operation
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
- Solid grounding in multi-object tracking, state estimation, and 3D geometry
Benefits
- Flexible scheduling with occasional remote work accommodations