Software Engineer Perception Fallback Stack
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
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.
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
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
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