Software Engineer, Perception

Overland AI•Seattle, WA

110d•$120,000 - $300,000•Remote

About The Position

We are looking for perception experts to join our team to advance the state of off-road autonomy. Experienced, well-qualified remote candidates able to work during Pacific Time Zone business hours will be considered. In this role, you will 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. You will identify, implement, and respond to meaningful metrics that affect vehicle behavior. You will support experimentation and integration of the perception stack with new sensors and configurations (C++). You will collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system.

Requirements

BS/MS/PhD in Computer Science or similar and 2+ years of experience (industry or academia) implementing perception algorithms
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.
You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines.
Ability to obtain and maintain a DOD Security Clearance.

Nice To Haves

top-tier publications in CV and Robotics conferences and/or past experience working with lidars and cameras

Responsibilities

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.