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Robot Perception Engineer
Key Responsibilities
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Reinforcement Learning-Based Robot Locomotion Research and Development
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Robot Behavior Optimization
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Control Parameter Approximation
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Addressing Sim-to-Real Issues
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Robot Locomotion Training Using Reinforcement Learning
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ROS / ROS2
Qualifications
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Experience: 2-20 years
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Education: Bachelor’s or Master’s degree in Science or Engineering fields, or equivalent experience
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Majors: Artificial Intelligence, Computer Science, Data Science, Statistics, Electrical Engineering, etc.
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Experience in Speech Data Processing and Machine Learning: At least 1 year
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Experience in Speech Signal Data Processing and TTS (Text-to-Speech) and STT (Speech-to-Text) Development
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Proficiency in Deep Learning Frameworks: PyTorch, TensorFlow, Keras, MXNet, etc.
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Experience with Collaboration Tools: Git, Slack, Confluence, JIRA, etc.
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Not Eligible for Professional Research Personnel Support
Preferred Skills
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PhD in a Related Field or 5+ Years of Relevant Industry Experience (Salary Reflective of Experience)
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Experience in Model Compression and Optimization
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Experience in Multi-task Learning and Multi-modal Modeling Projects
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Understanding and Overcoming Challenges in Noise Robustness, Occlusion, and Data Imbalance Problems
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Experience in Model Inference and Deployment in Resource-Constrained Environments
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Published Papers in International Conferences (CVPR, ICCV, ECCV, AAAI, IJCAI, ICML, IROS, etc.)
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Proficiency in English
Optimization Research Engineer
Key Responsibilities
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Develop Optimization Models for Planning, Assigning, and Routing of Robot Tasks
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Design and Develop Models Based on Mathematical Optimization
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Develop Optimization Algorithms Considering the Characteristics of Robots
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Apply Optimization Models to Real Business Operation Processes and Verify Effectiveness
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Conduct Research and Development on ML-Based Optimization Methods
Qualifications
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Experience: 2-20 years
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Expertise in Designing and Developing Mathematical Optimization Models
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Ability to Research and Design Suitable Algorithms for Various Operational Processes
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Experience in Alternative Analysis Based on Optimization Model Analysis and Simulation
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Proficiency in Python Development and Knowledge
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Self-motivated Team Player
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Enjoys Solving Problems and Sharing Insights by Keeping Up with the Latest Technological Trends
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Persistent and Resilient with Strong Execution Skills
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Understands the Importance of Clear Communication with Team Members
Preferred Skills
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Experience in Optimization-Related Tasks in the Field of Quadruped or Mobile Robots
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Experience and Skills in Implementing AI and ML-Based Optimization Models
Robot Control Engineer
Key Responsibilities
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Design and Development of Control Systems for Walking Robots
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Development of Robot Control Software Based on RTOS
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Embedded System Engineering
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Development and Field Testing of Walking Robot Locomotion
Qualifications
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Experience: 2-10 years
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Education: Master’s degree or higher in Robotics, Mechatronics, Mechanical Engineering, Electrical and Electronics Engineering, or a related field, or equivalent experience
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Expertise in Robot Control Software, Embedded Software, Device Communication, and Robot Design and Control
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Proficiency in Embedded System Handling (Data Processing, CAN, SPI, LAN, GPIO)
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Ability to Develop and Implement Main Control Software Based on RTOS (Motion Control Based on Multi-tasking)
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Experience in Robot Development and Product Implementation Using MATLAB, C++, C#, 3D CAD, ROS, etc.
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Ability to Understand Technical Papers and Documents and Implement Systems Based on Them
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Experience in Project Collaboration Using Git
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Effective Communication Skills for Team Collaboration and Solving Technical Problems
Preferred Skills
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PhD or higher in Robotics, Mechatronics, Mechanical Engineering, Electrical and Electronics Engineering, or a related field, or 5+ years of relevant industry experience
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Experience in Robot Control, Design, RTOS-Based Control Software, Firmware, Device Communication, Locomotion (Walking Robots), and Field Testing
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Understanding and Implementation Experience in Robot Control (Position, Velocity, Impedance Control)
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Deep Understanding of Robot Kinematics, Robotics, and Actuation Mechanisms
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Experience in Environmental Perception and Path Generation Using Sensor Fusion (e.g., Vision, Lidar)
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Experience with Collaboration Tools (e.g., Slack, Confluence, JIRA)
Robot Design Engineer
Key Responsibilities
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Design, Fabrication, Assembly, and Field Testing of Walking Robots
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Design of Robot Joint Structures (Legs/Body), Actuators (BLDC/Frameless Motors), and Gearboxes
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Simulation of Robot Motion (Mechanics/Dynamics)
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Creation of 2D Drawings Using 3D CAD and Overseeing Fabrication/Manufacturing/Assembly
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Optimization of Component Technologies (Drive Modules, Motors, Gearboxes, Encoders)
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Development for Mass Production (Based on PnD and DnL Modules, Performance Improvement, Design Changes)
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Management of E/O, BOM, Production Drawings, and Transition to Mass Production
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Development Purchasing and Management (Sourcing New Parts and Suppliers, Reviewing Alternatives, Inspection Standards)
Qualifications
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Experience: 3-10 years
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Education: Master’s degree or higher in Robotics, Mechatronics, Mechanical Engineering, Electrical and Electronics Engineering, or a related field, or equivalent experience
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Proficiency in Design and Creation of 2D Drawings Using 3D CAD (SolidWorks)
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Experience in Fabrication/Manufacturing Management, Assembly, and Drive Testing
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Ability to Simulate Robot Motion (Mechanics / Dynamics)
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Ability to Design and Implement Products with Design and Control Systems Collaboration
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Ability to Understand and Apply Technical Papers and Documents
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Strong Communication and Collaboration Skills for Teamwork and Problem Solving
Preferred Skills
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PhD or higher degree in Robotics, Mechatronics, Mechanical Engineering, Electrical and Electronics Engineering, or related field
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Over 5 years of practical experience
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Experience in Walking Robot Design, Locomotion, and Field Testing
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Expertise in Actuators and Robot/Control Systems
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Deep understanding of Robot Kinematics, Robotics, and Actuation Mechanisms
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Experience with Collaboration Tools (e.g., Slack, Confluence, JIRA)
SLAM & Navigation Engineer
Key responsibilities
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Research on Localization Technologies for Robot Navigation in Indoor and Outdoor Large-Scale Environments
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Development of LiDAR-Based Mapping and Localization Technologies
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Development of Obstacle Avoidance Algorithms
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Development of Path Planning and Path Following Technologies for Autonomous Robots in Indoor and Outdoor Environments
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Development of Autonomous Driving Algorithms for Indoor and Outdoor Robots
Qualifications
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Experience: Entry-level or 3+ years of experience
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Degree: Graduate in Computer Science, Electronics, Control Engineering, Robotics, Software Engineering, or a related field
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Experience Required in One or More of the Following Areas:
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SLAM, SfM, Visual Localization, Odometry (VIO, WIO, VIWO)
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Sensor Fusion (LiDAR, Camera, IMU, GNSS, etc.), State Estimation
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3D LiDAR Feature Extraction, Image Feature Extraction & Matching
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3D Occupancy Prediction, LiDAR-Camera Fusion in Unified Bird’s-Eye View
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Vision-Language Models, Vision Foundation Models
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Experience Applying Localization Algorithms to Robots and Autonomous Vehicles
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Proficiency in C/C++ Understanding and Development
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Experience with Git, Jira, Confluence
Preferred Skills
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Expertise in Autonomous Driving Algorithms for All Environments
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Basic Knowledge of Software Data Structures, Algorithms, and Architecture
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Experience with IMU
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Experience with Sensor Fusion
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Experience in Development Using Linux and ROS
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Master’s or PhD Degree in the Relevant Field, or 5+ Years of Experience
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Experience in Developing DL Network Optimization and Distributed DL Technologies
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Experience Applying Developed Algorithms to Real Robots and Autonomous Vehicles
Reinforcement Learning Engineer
Key Responsibilities
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Reinforcement Learning-Based Robot Locomotion Research and Development
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Robot Behavior Optimization
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Control Parameter Approximation
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Addressing Sim-to-Real Issues
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Robot Locomotion Training Using Reinforcement Learning
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ROS / ROS2
Qualifications
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Experience: 1-2 years
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Experience Implementing Reinforcement Learning (RL) Using DL Frameworks (PyTorch, TensorFlow, TensorLite)
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Deep Understanding of RL and Broad Knowledge of Latest Deep Learning Technologies
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Experience in Linux-Based Programming with C/C++ and Python
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Degree in a Related Field (Computer Science, Electronics, Mathematics, etc.)
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Proficiency in C/C++ and Python Development
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Experience in RL Projects Using Physics Engines for Simulation
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Self-Motivated Team Player
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Enjoys Solving Problems and Sharing Insights by Keeping Up with the Latest Technological Trends
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Persistent and Resilient with Strong Execution Skills
Preferred Skills
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Master’s or PhD Degree in the Relevant Field, or 3+ Years of Experience
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Experience in Developing Model-Based Reinforcement Learning
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Contributor-Level Implementation Experience with DL Frameworks (PyTorch, TensorFlow, TensorLite, TensorRT, etc.)
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Experience in Setting Up Reinforcement Learning Environments Using ROS and Unity
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Experience in Winning Competitions in the Relevant Field or Publishing Papers in ICRA, IROS
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Experience with ROS or ROS2 Development
AI Language Model Engineer
Key responsibilities
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Development of Korean and English TTS (Text-to-Speech) Model Algorithms
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Development of Korean and English STT (Speech-to-Text) Model Algorithms
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Development of Few-Shot TTS Technology
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Development of Multi-Speaker Speech Recognition (STT) Technology
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Research on Multimodal Models Utilizing NLP and Vision
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End-to-End Configuration for Model Inference
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Model Inference and Deployment in Constrained Resource Environments
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Review of Latest Papers and Implementation for Performance Improvement
Qualifications
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Experience Required: 2-20 years
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Education: Bachelor’s or Master’s degree in Engineering or related fields, or equivalent experience
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Fields of Study: Artificial Intelligence, Computer Science, Data Science, Statistics, Electrical Engineering, etc.
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Minimum 1 year of experience in speech data processing and machine learning
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Experience with speech signal data processing and development of TTS and STT
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Proficiency with Deep Learning Frameworks such as PyTorch, TensorFlow, Keras, MXNet
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Experience with collaboration tools such as Git, Slack, Confluence, JIRA
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Applicants with a Research Specialist (RS) status are not eligible
Preferred Skills
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Ph.D. or higher in relevant fields or 5+ years of practical experience
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Experience in Model Compression and Optimization
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Experience in Multi-Task Learning and Multi-Modal Modeling projects
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Experience with Model Inference and Deployment in Resource-Constrained Environments
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Experience publishing papers in international conferences (CVPR, ICCV, ECCV, AAAI, IJCAI, ICML, IROS)
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Fluency in English
Robot Mechanics Engineer - Senior Level
Key responsibilities
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Robot gait & motion and dynamics analysis
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Definition of robot mechanical specifications
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Robot mechanical design, ordering, and assembly
Qualifications
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Over 10 years of experience in mechanical design
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Master’s or Ph.D. degree in Robotics/Mechanical Engineering-related fields
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Strong communication skills for collaboration with team members and solving technical issues
Preferred Skills
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Ability to perform dynamics analysis
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Experience with collaboration tools such as Slack, Confluence, and JIRA
Robot Mechanics Engineer - Junior Level
Key responsibilities
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Robot mechanical design, ordering, and assembly
Qualifications
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Over 5 years of experience in mechanical design
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Bachelor’s or Master’s degree in Robotics/Mechanical Engineering-related fields
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Strong communication skills for collaboration with team members and solving technical issues
Preferred Skills
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Experience managing outsourcing and external development vendors
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Experience with collaboration tools such as Slack, Confluence, and JIRA
Robot Mechanics(Hardware) Engineer
Key responsibilities
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Robot hardware configuration and interface design
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Selection of robot MCU & Embedded (SoM) and peripheral devices
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Robot circuit design and ordering
Qualifications
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Over 5 years of experience in MCU hardware design
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Bachelor’s or Master’s degree in Electrical/Electronic/Control-related fields
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Experience in designing with STM32F4/F7 and TI/Analog Device DSP chips
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Ability to understand technical documentation and design circuits accordingly
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Strong communication skills for collaboration with team members and solving technical issues
Preferred Skills
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Experience in vehicle hardware development
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Experience managing outsourcing and external development vendors
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Experience with collaboration tools such as Slack, Confluence, and JIRA
Robot Mechanics(Firmware) Engineer
Key responsibilities
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Robot MCU/Embedded firmware framework
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Implementation of robot control and sensing interfaces
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Implementation of robot communication interfaces
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Communication control for robot motor and LED operation
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Acquisition and processing (filtering) of robot sensor data
Qualifications
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Over 5 years of experience in MCU/Embedded firmware design
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Bachelor’s or Master’s degree in Electrical/Control/Computer-related fields
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Ability to understand research papers or technical documentation and implement systems based on them
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Project collaboration skills using Git
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Strong communication skills for collaboration with team members and solving technical issues
Preferred Skills
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Experience in Linux development
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Experience in vehicle MCU firmware development
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Ability to design and implement object-oriented systems
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Experience with collaboration tools such as Slack, Confluence, and JIRA