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Build and maintain automated CI/CD pipelines, manage cross-platform (Linux/Windows) deployments using containers and orchestration, enforce deployment security, design high-availability strategies, and maintain release documentation and deployment procedures to ensure reliable, repeatable software delivery for autonomous driving systems.

Design and lead development of scalable, high-performance system software and middleware in Modern C++. Own core infrastructure (process management, resource isolation, runtime stability), implement fault detection and graceful degradation, build data pipeline/streaming for high-bandwidth sensors, profile and optimize CPU/GPU/memory/network, and mentor teams to enforce best practices and system interfaces.

Join the autonomous driving QA team to design and execute automated and manual tests across perception, prediction, planning, and control. Build CI/CD pipelines, expand simulated and real-world test coverage, analyze logs, reproduce defects, and improve QA processes to ensure safety, reliability, and performance of the driving stack.

Join Seoul Robotics as a research or industrial functional personnel in autonomous driving. Contribute to software engineering and machine learning projects in a diverse, international team.

Lead the design and implementation of high-performance perception architectures for autonomous driving, focusing on multi-sensor data fusion and deep learning optimization while mentoring junior engineers.

The Platform Engineer is responsible for building and operating CI/CD pipelines, cloud infrastructure, and enhancing developer experiences for an autonomous driving solution.

Lead multi-year government-funded smart city projects, coordinate consortium partners, align engineering and product teams with public-sector requirements, manage key B2G/B2B accounts, support business development and proposals, navigate regulatory approval and settlement cycles, and act as primary liaison between ministries, municipalities, and internal stakeholders.

Design, implement, and productize high-performance 3D perception pipelines for autonomous systems. Lead multi-sensor fusion, optimize inference and hardware acceleration, mentor engineers, conduct code/design reviews, and collaborate cross-functionally to deliver robust production solutions.