Senior Software Engineer - Perception

The role

You will build the perception system for L4 autonomous trucks operating at highway speeds. This involves designing, training, and deploying deep learning models and multi-sensor fusion architectures.

What you will do

• 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: 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 it operates on public roads.
• Collaborate daily with behavior/planning engineers, systems and safety engineers, and validation teams.

Required qualifications

• 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: multi-object tracking, state estimation, and 3D geometry.

Nice to have

• 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, Inc. is a Silicon Valley company creating digital infrastructure for physical intelligence. It services the automotive, defense, trucking, construction, mining and agriculture industries.