Company Description

Headquartered in China, ePropulsion was set up in 2012 and is led by a team of technology entrepreneurs that are focused on developing uncompromising superior products. Since the company launched its first electric outboard in 2014 it has fast become a force to be reckoned with in the electric propulsion market, seeing the brand win significant market share across Europe and the world – which continues to grow. ePropulsion has a clear mission to become the global leader in marine electric propulsion systems and services. This pioneering, market challenger brand is at the very forefront of the industry and is recognised across the world for its exceptional product quality, performance, and technological innovations. ePropulsion was the first company to launch a brushless direct-drive electric outboard motor in the market and offers a portfolio of 1 – 6kW outboard engines across its Spirit and Navy ranges that are renowned for being high quality, quiet, eco-friendly and low maintenance.

Job Description

• Concentrate in dealing with developing a mathematical model for autonomous ship navigation.
• Understand the mathematical model of a ship and the dynamics of the ship's engine. Combine with several navigation sensors, use to implement the control system of the ship engine.
• Develop the control system tightly alongside a simulation, leading to its implementation on the water of a real ship.

Job Requirement

• Minimum with 1-3 years of experience in developing, integrating, testing, and maintaining hardware and software for robotic and embedded systems.
• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or related discipline(s).
• Comfortable with mathematical modeling of robot kinematics and dynamics.
• Proficient in C, C++, and Python programming/ scripting.
• Experience with the Robot Operating System (ROS) framework and Gazebo.
• Familiar with git or other versioning control in a team-based environment.
• Good at English communication (verbal and non-verbal).
• Fresh graduate with strong technical backgrounds is also welcome.
• Proficient in both spoken and written Mandarin and/or Cantonese.
• Experience in the simulation of the control systems.
• Knowledge in computer vision and/or machine learning.
• Skill set on an embedded system.

Application Method

Please e-mail your full resume in WORD FORMAT with expected salary to andreas.widy@epropulsion.com