Autonomous Vehicle System Integration Engineer

About This Role

We're seeking an Autonomous Vehicle System Integration Engineer to lead the build, integration, and testing of infrastructure-based autonomous driving systems, called ATI(Autonomy Through Infrastructure).

In this role, you will work hands-on with hardware and software components—including LiDAR, servers running ATI, network infrastructure, and autonomous-ready vehicles—to ensure the ATI software operates reliably in real-world conditions.

You will also collaborate with internal teams and external partners to build, optimize, and support autonomous driving systems for demo events, pilot deployments, and customer projects.

Responsibilities

[1] Infrastructure-Based Autonomous Driving System Implementation & Management

• Build and manage a hardware-software integrated system to ensure the stable operation of ATI, our infrastructure-based autonomous driving software.

• Conduct testing, system integration, and performance optimization for key hardware components such as LiDARs, servers, network infrastructure (wired/wireless), and vehicles.

• Collaborate with hardware vendors and technical partners to coordinate integration and resolve issues during the system setup and optimization process.

[2] Demo Events & Customer Support

• Lead demo events showcasing the optimized infrastructure-based autonomous driving system to potential customers, media, and other stakeholders.

• Work closely with the project team to deploy ATI systems for customers and provide technical support for field testing using customer-installed systems.

[3] Autonomous Driving Software Product Planning & Management

• Support the definition of requirements for ATI and related system components based on issues and insights gathered during field testing and integration.

• Prepare essential product materials such as user manuals and technical documentation to support customer training and internal knowledge sharing.

Qualifications

• Bachelor’s degree or higher in a relevant field such as Mechanical Engineering, Electrical Engineering, or Computer Engineering

• Minimum of 5 years of experience in system integration and field testing in the autonomous driving domain (or related technologies)

  • Research experience in autonomous or robotic systems may be considered as part of work experience for candidates with a Master’s or PhD degree

• Expertise in at least one key component of infrastructure-based autonomous driving systems

• Ability to understand and analyze autonomous driving software written in C++ (or similar languages)

• Hands-on experience with Linux- and Docker-based development and testing environments

• Ability to independently conduct field tests and troubleshoot system-level issues

• Strong communication skills for effective collaboration with internal teams, external partners, and customers

• Business-level proficiency in English

• Valid driver’s license

Preferences

• Experience with autonomous driving, autonomous parking, or ADAS-related projects

• Understanding of CAN communication and Ethernet-based protocols

• Experience with wireless communication systems and system-level integration

• Hands-on experience and understanding of sensors commonly used in autonomous vehicles (e.g., LiDAR)

• Experience in system design and validation using simulation tools

• Experience in developing or working with fleet management or remote monitoring/control solutions