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.