Automotive Sensor Fusion Algorithm Engineer

Qualifications requirements

• MSc or PhD in Electrical, Computer, Physics, Mathematics or related field of studies with several years of experience.
• Experience in one or more of the following areas related to sensor fusion for ADAS and AD:

Signal processing of radar, lidar, camera, and other automotive sensors

• Algorithm development for environment and situation awareness using multi-sensor fusion, object detection, point cloud processing, association, classification and tracking of multiple objects in complex environment
• Non-linear optimization and probabilistic filters
• Experience with target detection/segmentation using deep neural network

• Experience in Matlab programming and preferably also software optimization.
• Should be able to work effectively in a multidisciplinary team and be self-motivated with strong organizational, analytical and problem solving skills.
• Should be able to travel between Huawei Sweden R&D office in Stockholm (Kista) and Gothenburg, short term travel in Europe and China.
• Should be able to work in a team and possess good interpersonal and communications skills.

Responsibilities

• Development of sensor fusion and object tracking algorithms and software to model the world using data from imagery, point cloud, radar, and other tactical sensors.
• Find innovative sensor fusion and perception solutions and algorithms for current and future autonomous vehicles. Research on sensor fusion algorithms and architectures.
• Develop engineering requirements at hardware and software systems and subsystems based on feature definitions and higher level requirements.
• Recommend options consistent with current industry best practices and future trends.
• Evaluate the performance of current and new ideas/architectures and requirement by simulation.

This is a full-time consultancy position at a global telecom company in Gothenburg.