SLAM Software Engineer; Sensor Fusion

SLAM Software Engineer (Sensor Fusion)

Job description

* Research and develop algorithms for sensor fusion and object association across multi-sensor modalities such as one or more cameras, IMU, radars, and lidar sensors.

* SLAM prototyping and vehicle testing

* Implement and integrate robotics algorithms into software using C++ and Python

* Sensor fusion and software development using IMU, Radar, camera, and Lidar

* Participate in brainstorming activities related to SLAM application project(s)

* Support software development

* Work with large field-testing data to continuously iterate/improve algorithm

Requirements

* Proficient in C/C++, comfortable in Python is a MUST

* PhD or Masters student in CS, CE, EE, ME, or similar disciplines

* Hands on experience with Linux

* Understanding of basic Path Planning & Perception algorithms

* Understanding of Kalman filters and particle filters.

* One year of experience in robotics software development

* Ability to multitask effectively in a dynamic environment

* Strong debugging, problem-solving and analytical skills

* Excellent interpersonal, written and oral communications skills

Preferred:

* Passion for learning new software tools and languages

* Robot Operating System (ROS) experience

* Expertise in computer vision and machine learning

* Experience programming for interfacing between devices, such as analog signal processing and sensor reading via serial ports

* Embedded software programing experience with mobile GPU, DSP

The ideal candidate will have a passion for generating new ideas, be a proactive and quick learner, and be able to demonstrate creativity and innovation.

Location

San Diego