Machine Learning Engineer, Sensor Fusion

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are looking for vehicle system engineers who are passionate about creating the state-of-the-art technology and their applications in ADAS and AD systems.

The main responsibility of the role includes:

• The Machine Learning Engineer, Sensor Fusion is responsible for the design, architecture, and validation of sensor fusion capabilities in ADAS/AD systems
• Work with the machine learning and robotics team to facilitate fast algorithm and system iteration
• Develop, document, and communicate requirements for sensor fusion functions and testing platform 

Required qualifications:

• S in Computer Science, Electrical Engineering, Mathematics or a related field 
• Deep knowledge and extensive expertise in signal processing 
• 2+ years of hands-on experience in multi-sensor systems and sensor fusion
• 2+ years of hands-on experience in machine learning/deep learning
• Proficiency of deep learning frameworks such as Tensorflow, Pytorch, etc 
• Proficiency with perception libraries such as OpenCV, PCL, etc 
• Strong Python and C++ programming skill 

Preferred qualifications:

• D in Computer Science, Electrical Engineering, or closely related fields with 1+ years of industrial experience 
• Knowledge of automotive systems, notably ADAS applications and preferably autonomous driving systems
• Experience with sequential data
• Experience with object tracking 
• Experience with camera, radar, Lidar, and ultrasonic sensor 

Who are we?

Everything we do starts with people. Our purpose is to provide freedom to move, in a personal, sustainable and safe way. We are committed to simplifying our customers’ lives by offering better technology solutions that improve their impact on the world and bringing the most advanced mobility innovations to protect them, their loved ones and the people around them.