Excellent written and verbal communication skills in English, and the ability to work effectively in a fully English speaking environment. Bachelor's degree or higher in computer science, robotics, electrical engineering, or a related field. 15+ years of software engineering experience with at least 5 years in technical leadership or engineering management roles. Proven experience building and leading high-performing engineering teams.
Strong hands-on technical skills with modern software development practices and system architecture. Experience with real-time systems, embedded systems, or autonomous systems development is strongly preferred. Demonstrated ability to balance strategic leadership with tactical technical contributions. Experience working in interdisciplinary teams across hardware, software, and research domains. Proficiency in one or more of: Python, C++, Go, JavaScript/TypeScript.
Familiarity with cloud infrastructure, microservices architectures, and DevOps practices is a plus. Flexibility to attend virtual meetings with the International team at least two nights per week. The ASUS Robotics & AI Center is seeking an Engineering Manager to lead our autonomous systems development team. This role combines technical leadership with hands-on engineering contributions, driving the design and implementation of sophisticated autonomous platforms and their supporting software infrastructure.
We are looking for an experienced engineering leader who can guide a growing team of software engineers while remaining technically engaged in architecture decisions and critical development work. The ideal candidate will bring deep expertise in building complex systems, a track record of developing high-performing engineering teams, and the ability to bridge technical execution with strategic product goals in an interdisciplinary environment.
Lead a team of software engineers developing autonomous platform technologies. Contribute hands-on to architecture design, code reviews, and technical problem-solving for critical system components. Drive engineering best practices including code quality, testing strategies, documentation standards, and development workflows. Collaborate with cross-functional teams including hardware engineers, researchers, and product stakeholders to make optimal technical decisions.
Take ownership of the software development lifecycle from requirements gathering through deployment and maintenance. Build and maintain a culture of technical excellence, continuous improvement, and knowledge sharing. Manage project timelines, resource allocation, and technical roadmaps in alignment with organizational goals.
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A research and development center of ASUS focused on robotics and artificial intelligence technologies.