Software Engineer Perception Fallback Stack

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