Engineering Manager - Autonomous Systems

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.

• 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.