Software Engineer Perception Fallback Stack
Applied Intuition · Sunnyvale · onsite
You will design, train, and deploy deep learning models for 3D object detection using LiDAR, camera, and radar data. You will build multi-sensor fusion architectures, investigate perception failures, operate data and retraining workflows, support localization under degraded conditions, 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
- Characterize perception failure modes and improve system-level metrics
- Build and operate data-engine workflows for production comparison, data mining, and retraining
- Contribute to camera- and LiDAR-based localization perception under degraded conditions
- Complete the safety validation pipeline before public-road operation
Requirements- Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field
- 4+ years of professional experience in ML-based perception, computer vision, or robotics
- Proficiency in Python and C++
- Experience training and deploying deep learning models in production
- Knowledge of multi-object tracking, state estimation, and 3D geometry
Benefits- Equity
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401k retirement benefits with employer match
- Learning stipend
- Wellness stipend
- Paid time off