Autonomy Perception Engineer for L4 Trucks

Applied Intuition; Sunnyvale (CA); Hybrid; USD 151,000 - 255,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401k with employer match

Paid time off

Job summary

Applied Intuition seeks a Perception Software Engineer on the Autonomy team to build the perception system for L4 autonomous trucks at highway speeds. You will own end-to-end development—from model architecture and training to onboard deployment and on-road validation—within a safety-critical software environment.

You will collaborate daily with behavior/planning, systems and safety, and validation teams to design, train, and deploy 3D object detection models across LiDAR, camera, and radar

Qualifications

• 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.

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.
• Take your 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.

Skills

Python

C++

ML perception

Computer vision

Robotics

Education

CS/Robotics/EE degree

Tools

PyTorch

Embedded GPU

Job description

Applied Intuition seeks a Perception Software Engineer on the Autonomy team to build the perception system for L4 autonomous trucks at highway speeds. You will own end-to-end development—from model architecture and training to onboard deployment and on-road validation—within a safety-critical software environment.

You will collaborate daily with behavior/planning, systems and safety, and validation teams to design, train, and deploy 3D object detection models across LiDAR, camera, and radar