Senior Software Engineer - Perception

Responsibilities

• 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 including shadow-mode comparison and automated data mining
• Contribute to camera- and LiDAR-based localization perception under degraded conditions
• Take work through the full safety validation pipeline for 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 (e.g., PyTorch)
• Solid grounding in classical perception including multi-object tracking, state estimation, and 3D geometry

Preferred Qualifications

• 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

About the Company

Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. The company services the automotive, defense, trucking, construction, mining, and agriculture industries.