Our main development task is to bring the best environmental sensing solution to the market for autonomous driving in confined areas. The sensing solution delivers quality-assured data to the self-driving system. We are working with different sensor techniques such as radar, lidar, IMU, and RTK-GNSS. All our development is done in close cooperation with the teams for computational platform, sensor fusion, localization, etc.
You are responsible for data analysis of data/log files in order to characterize and formulate the sensing problem, then further develop filters/algorithms to classify sensor data in different ways. You will also work with sensor extrinsic calibration. Preferably You are also experienced in C++ so that you can integrate the filters into runtime code.
As a member of an agile team, your will work with all sensor modalities (mainly Lidar and radar) and also, when needed, help out with other work tasks that are within the scope of the team.
You are expected to bring your share of contribution to delivering with speed and quality, developing of concept and strategy, and further boosting of our team spirit.
Detailed Description
Education
Master of Science degree or above, within a relevant field
Language: English – Fluent
Meriting
• Development and implementation of signal processing algorithms
• Statistical methods and Probability
• Sensor handling in real-time system
• Automotive and/or robotics
• Photonics, optics and radio/radar/EM related physics in context of radars/lidars principle of operation
Cubane is a Swedish IT consulting firm with over ten years of experience and a proven track record of assembling and leading teams of qualified IT specialists. Cubane is a business that is managed by a group of strong female executives. Read More
