Design, prototype, and deploy perception/deep learning algorithms (e.g., object detection and tracking, surface reconstruction, visual odometry) that run real-time on our autonomous vehicles.
Identify, implement, and respond to meaningful metrics that affect vehicle behavior.
Support experimentation and integration of the perception stack with new sensors and configurations (C++).
Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system.

BS/MS/PhD in Computer Science or similar and 2+ years of experience (industry or academia) implementing perception algorithms
Preferred: top-tier publications in CV and Robotics conferences and/or past experience working with lidars and cameras
Expert in ROS 2 or other similar robotics middleware.
Strong programming (C++ or Python) skills and experience in a deep learning framework such as Pytorch, JAX, Tensorflow, etc.
Ability to obtain and maintain a DOD Security Clearance.

Software Engineer, Perception

Key skills