SLAM Software Engineer (Sensor Fusion

SLAM Software Engineer (Sensor Fusion)

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

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

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

If interested, please send your resume to: career