AMR Autonomous Control Middleware Development and System Integration

Who we are

We are responsible for developing highly applicable logistics technologies to serve as an SDF logistics control tower and disseminating and deploying them across production facilities.

Responsibilities

In this role, you will design and develop a middleware platform that integrates management of devices, communication, diagnostics, and alarms in the AMR system, providing a stable operational foundation between upper-level autonomous control software and hardware.

■ Middleware Development

• Designing and developing ROS2-based AMR middleware
• Designing communication interfaces between Fleet Management System and robot control software
• Building and optimizing data pipelines between robots and control systems (message queues, protocol design)
• Developing intelligence modules for multi-robot collaborative control in middleware

■ System Integration

• Defining and managing integrated interfaces with subsystems such as Navigation, Perception, and Localization
• Designing and integrating 3-tier architecture between control servers, edge computing, and robots for validation
• Designing service integration based on REST API / gRPC / DDS
• Developing interconnection interfaces with on-site equipment (PLC, conveyor, door, elevator, etc.)

■ Sensor and Diagnostics Data Platform

• Collecting multi-sensor data (LiDAR, camera, IMU, etc.) and diagnostic data (motor, battery, communication logs, etc.), and building pipelines to convert rosbag and robot execution logs into standard episodes or datasets for learning and evaluation
• Managing data schema, metadata, version, and lineage, and validating data consistency including timestamp, coordinate frame, calibration, and sensor completeness
• Developing anomaly detection systems for data loss, sensor delays, TF errors, calibration abnormalities, and abnormal states
• Developing data curation pipelines based on robot success, failure, and edge cases
• Developing log and code-level failure reproduction and diagnostics tools
• Performing end-to-end root cause analysis by linking control system task, mission, route, state transition, timeout, and retry logs with robot data

■ MLOps and DataFlywheel

• Managing lineage of datasets, AI models, robot configurations, software versions, and experiment results
• Automating learning, validation, and deployment workflows for perception models (object recognition, obstacle detection) and diagnostic models (failure prediction, LLM-based recovery)
• Integrating AI models into robot runtime and analyzing latency, throughput, resource usage, and failure modes
• Monitoring model performance, detecting drift, and managing versions
• Implementing feedback loops and automatic retraining pipelines for LLM-based recovery models
• Designing and automating Data Flywheel circulation structure connecting field sensor/diagnostic data collection → model learning/improvement → AMR deployment → performance evaluation

■ Autonomous Operations and Operational Optimization

• Designing and implementing AI agent-based robot autonomous operation logic
• Developing mission scheduling, dynamic route reassignment, and autonomous recovery functions for exceptional situations
• Researching and developing autonomous decision-making modules using LLM/Rule-based hybrid approaches
• Building real-time status monitoring and event-based autonomous response systems
• Implementing system failure detection and automatic recovery mechanisms
• Converting research prototypes and iterative manual analysis into sustainable software and tools

Minimum Qualifications

• Bachelor's degree or higher in Computer Science, Robotics, Electrical and Electronic Engineering, Industrial Engineering, Software Engineering, or a related field
• Minimum 5 years of experience in AMR middleware development
• Hands-on experience with ROS or ROS 2
• Professional proficiency in at least one of Python or C++
• Experience in model training, inference, and experiment management using frameworks such as PyTorch or JAX
• Experience in distributed systems or middleware development
• Experience designing communication protocols, such as TCP/IP, MQTT, gRPC, and DDS
• Experience developing and deploying software in Linux environments

Preferred Qualifications

• Experience developing or integrating AMR, AGV, or autonomous mobile robot systems
• MLOps experience in robotics or autonomous-driving domains, including deployment automation and performance monitoring
• Experience with sensor calibration and data fusion
• Experience processing large-scale rosbags, video data, or point clouds
• Experience designing and operating Docker/Kubernetes-based microservices architectures
• Experience with streaming data pipelines, such as Kafka
• Experience developing Fleet Management Systems or fleet control platforms
• Experience applying AI agents, LLM-based autonomous control, or decision-making systems
• Experience with multi-robot collaborative control, including task allocation and conflict resolution
• Experience integrating PLCs, SCADA, or smart factory equipment
• Experience with sim-to-real approaches or synthetic data
• Experience developing data annotation or human-in-the-loop (HITL) tools
• Experience delivering and operating robot systems in real-world logistics or manufacturing environments

Others

[Notes]

• In accordance with the employment protection laws, eligible candidates (disabled individuals, veterans, etc.) will receive preferential benefits during the process.
• Applications are accepted only through the Hyundai Motor Company career page, and any other methods are not allowed.
• Submitting your applications early prior to the deadline is recommended to prevent mass traffic and submission issues.
• Additional assignments may be given during the interview rounds, if necessary.
• The recruitment schedule may be adjusted depending on the progress of the recruitment process.
• The expected position level specified in the job description may change based on each individual's experience and evaluation results.
• For any inquiries on recruitment, please refer to the [FAQs] or submit a ticket through '1:1 Inquiries' on our webpage.

[Precautions]

• If any of the following conditions apply, your acceptance may be revoked, or you may be subject to disadvantages in the selection process:
• If the information submitted during the recruitment process (including the application form) differs or cannot be proven in documentation
• If you are ineligible to work under company regulations
• If you are ineligible to travel abroad (for men, Korean nationals who have not completed military service or are not exempt from military service by the joining date)
• If you are unable to join the company on the start date designated by the company upon receiving the final offer
• Our company respects the trade secrets of third parties and strives to comply with relevant laws and regulations, such as The Unfair Competition Prevention and Trade Secret Protection Act. Please be careful not to disclose any confidential information related to your former/current workplace or to violate the confidentiality obligation of your former/current workplace, during the recruitment process. Violation may result in disadvantage in the recruitment process.

Position: Manager, Senior Manager