Robotics Engineer

Company Description Mushiny Intelligence, headquartered in Suzhou, China, delivers comprehensive smart logistics technology and services to global customers. The company specializes in customized solutions powered by advanced AI algorithms and highly reliable robots and system platforms. Mushiny’s offerings support a wide range of sectors, including e-commerce, manufacturing, distribution, and warehousing. In addition to improving efficiency, the company emphasizes optimizing human-device interaction to create better operational experiences. For more information, interested applicants can visit the company website or contact the team via email.Role Description As a Robotics Engineer at Mushiny Intelligence, you will design, develop, and optimize robotic systems for warehousing and intralogistics applications. On a day-to-day basis, you will implement and test control algorithms, integrate hardware and software components, analyze system performance, and troubleshoot technical issues. You will collaborate with cross-functional teams to support process automation projects, refine system requirements, and prepare clear documentation for deployments and maintenance. This is a full-time hybrid role based in Sydney, NSW, with a mix of on-site work at customer or office locations and some work from home.Qualifications Strong foundation in Robotics and Process Automation, with experience applying these skills to real-world logistics or industrial systems.Excellent Analytical Skills to diagnose issues, interpret data, and optimize robotic performance and workflows.Proficiency in Software Development for robotics, such as programming in C++, Python, or similar languages and working with relevant frameworks or simulation tools.Effective Communication skills to collaborate with multidisciplinary teams, explain technical concepts clearly, and produce concise documentation.Bachelor’s or Master’s degree in Robotics, Mechatronics, Electrical/Mechanical Engineering, Computer Science, or a related field.Experience with sensors, actuators, navigation, or machine vision systems in industrial or warehouse environments is highly beneficial.Familiarity with AI algorithms, control systems, or real-time embedded systems is an advantage.Ability to work both independently and in teams within a hybrid work arrangement, managing priorities in a fast-paced environment.