RLWRLD is a leading Physical AI company developing a Robotics Foundation Model (RFM) that enables robots to perceive, reason, and act in the real world like humans.
Building on deep research capabilities in AI and robotics and a strong data collaboration network with industrial partners in Japan, Korea, and beyond, RLWRLD is rapidly advancing our RFM to enable precise manipulation by high-degree-of-freedom robotic hands. The company is also collaborating with world-class research groups and partners in robotics and sensor solutions to develop AI models that can be practically deployed across industries such as manufacturing, logistics, and services.
Having raised approximately KRW 60 billion in cumulative seed funding from leading domestic and global venture capital firms and major corporations, RLWRLD continues to attract exceptional talent who are eager to drive innovation across AI, robotics technology, and business.
About the Product Organization
At RLWRLD, our Product Organization is responsible for developing all core products — spanning planning, development, and research.
We are building foundational technologies such as:
- Robotics Foundation Model (RFM)
- APIs/SDKs to deliver RFM functionality
- Data pipeline & teleoperation tools
- Training systems for model learning
- Benchmark systems to test performance
- Robot control systems
- Infra stack (GPU orchestration, compute management)
Our team includes both research and software engineers, working fluidly across AI model development and software infrastructure. We collaborate closely with Academy Researchers, robotic hardware partners, and internal business developers to deliver cutting-edge robotics solutions.
Position Overview
We are building control systems that enable robots to move flexibly and precisely in complex physical environments.
In this role, you will design hybrid control architectures that combine dynamics-based control with AI-driven control, and tackle sim-to-real challenges by transferring policies learned in simulation to real hardware. You will also work on the core control engine that turns software intelligence into real-world robot behavior.
We are looking for outstanding control engineers who can complete the loop—transforming intelligent software into precise and reliable physical motion.
Key Responsibilities
- Embedded Systems & Real-Time Control
- Design and develop control loops running on real-time operating systems (RTOS) and microcontrollers (e.g., ARM-based platforms)
- Implement and optimize real-time communication protocols with sensors and actuators (e.g., UDP, CAN, I2C)
- Hybrid Control Architecture Design
- Design and implement hybrid control loops that combine dynamics-based control (PID, MPC, WBC) with learning-based control methods
- Develop filtering and post-processing algorithms (signal processing) to physically calibrate and stabilize AI model inputs and outputs
- Simulation & Sim-to-Real
- Bridge the gap between simulation and real hardware by transferring control policies from simulation to physical systems (Sim-to-Real Transfer)
Required Qualifications
- Proficiency in C/C++ or Python
- Experience developing real-time systems (RTOS) or embedded systems
- Solid understanding of robot control theory (e.g., PID, dynamics-based control)
- Development experience in Linux environments
- Background in robotics through formal education or hands-on project experience
Preferred Qualifications
- High-Performance Real-Time Systems & Middleware
- Experience developing high-performance real-time systems and middleware
- Hands-on experience implementing hard real-time control loops on RTOS
- Experience building low-latency IPC mechanisms (e.g., ZeroMQ, shared memory) and custom bridges for high-throughput, high-frequency data
- Robotics Systems Integration
- Experience with system integration and communication optimization based on ROS 2 (e.g., DDS tuning)
- Experience controlling high-DoF systems
- Complex Robotic Systems
- Experience controlling and synchronizing complex multi-joint systems such as dexterous robot hands or humanoid robots
- Experience integrating multiple sensing modalities (e.g., tactile sensors) into control loops
Working Conditions
- Work Location: 561 Seolleung-ro, Gangnam-gu, Seoul (RUBINA Building, Yeoksam-dong)
- Employment Type: Full-time
- Probationary Period
- A three-month probationary period will apply upon employment.
- During this period, your work attitude and performance will be evaluated.
- Depending on the evaluation results, the probationary period may be extended or the employment offer may be withdrawn.
How to Apply
- Application Materials:
- Resume in English or Korean
- (optional) Portfolio, research materials, or project documents showcasing your capabilities
- Application Deadline: Rolling basis
Hiring Process
- Document Screening → 1st Interview → 2nd Interview → 3rd Interview → Final Offer
- Candidates who pass the document screening will be contacted individually.
- Additional Coffee Chats or Coding Test may be conducted if necessary.
Work Environment & Support
- Flexible Work Schedule: Adjust your working hours autonomously to match your personal rhythm.
- Equipment & Software Support: We provide job-specific equipment and essential software required for your role.
- Office Amenities: Enjoy our in-office snack bar and coffee machines.
- Holiday & Birthday Gifts: Small gifts are provided for holidays and birthdays.
- Health Checkup Support: We support your well-being through regular health checkups.
RLWRLD is a leading Physical AI company developing a Robotics Foundation Model (RFM) that enables robots to perceive, reason, and act in the real world like humans.
Building on deep research capabilities in AI and robotics and a strong data collaboration network with industrial partners in Japan, Korea, and beyond, RLWRLD is rapidly advancing our RFM to enable precise manipulation by high-degree-of-freedom robotic hands. The company is also collaborating with world-class research groups and partners in robotics and sensor solutions to develop AI models that can be practically deployed across industries such as manufacturing, logistics, and services.
Having raised approximately KRW 60 billion in cumulative seed funding from leading domestic and global venture capital firms and major corporations, RLWRLD continues to attract exceptional talent who are eager to drive innovation across AI, robotics technology, and business.
About the Product Organization
At RLWRLD, our Product Organization is responsible for developing all core products — spanning planning, development, and research.
We are building foundational technologies such as:
- Robotics Foundation Model (RFM)
- APIs/SDKs to deliver RFM functionality
- Data pipeline & teleoperation tools
- Training systems for model learning
- Benchmark systems to test performance
- Robot control systems
- Infra stack (GPU orchestration, compute management)
Our team includes both research and software engineers, working fluidly across AI model development and software infrastructure. We collaborate closely with Academy Researchers, robotic hardware partners, and internal business developers to deliver cutting-edge robotics solutions.
Position Overview
We are building control systems that enable robots to move flexibly and precisely in complex physical environments.
In this role, you will design hybrid control architectures that combine dynamics-based control with AI-driven control, and tackle sim-to-real challenges by transferring policies learned in simulation to real hardware. You will also work on the core control engine that turns software intelligence into real-world robot behavior.
We are looking for outstanding control engineers who can complete the loop—transforming intelligent software into precise and reliable physical motion.
Key Responsibilities
- Embedded Systems & Real-Time Control
- Design and develop control loops running on real-time operating systems (RTOS) and microcontrollers (e.g., ARM-based platforms)
- Implement and optimize real-time communication protocols with sensors and actuators (e.g., UDP, CAN, I2C)
- Hybrid Control Architecture Design
- Design and implement hybrid control loops that combine dynamics-based control (PID, MPC, WBC) with learning-based control methods
- Develop filtering and post-processing algorithms (signal processing) to physically calibrate and stabilize AI model inputs and outputs
- Simulation & Sim-to-Real
- Bridge the gap between simulation and real hardware by transferring control policies from simulation to physical systems (Sim-to-Real Transfer)
Required Qualifications
- Proficiency in C/C++ or Python
- Experience developing real-time systems (RTOS) or embedded systems
- Solid understanding of robot control theory (e.g., PID, dynamics-based control)
- Development experience in Linux environments
- Background in robotics through formal education or hands-on project experience
Preferred Qualifications
- High-Performance Real-Time Systems & Middleware
- Experience developing high-performance real-time systems and middleware
- Hands-on experience implementing hard real-time control loops on RTOS
- Experience building low-latency IPC mechanisms (e.g., ZeroMQ, shared memory) and custom bridges for high-throughput, high-frequency data
- Robotics Systems Integration
- Experience with system integration and communication optimization based on ROS 2 (e.g., DDS tuning)
- Experience controlling high-DoF systems
- Complex Robotic Systems
- Experience controlling and synchronizing complex multi-joint systems such as dexterous robot hands or humanoid robots
- Experience integrating multiple sensing modalities (e.g., tactile sensors) into control loops
Working Conditions
- Work Location: 561 Seolleung-ro, Gangnam-gu, Seoul (RUBINA Building, Yeoksam-dong)
- Employment Type: Full-time
- Probationary Period
- A three-month probationary period will apply upon employment.
- During this period, your work attitude and performance will be evaluated.
- Depending on the evaluation results, the probationary period may be extended or the employment offer may be withdrawn.
How to Apply
- Application Materials:
- Resume in English or Korean
- (optional) Portfolio, research materials, or project documents showcasing your capabilities
- Application Deadline: Rolling basis
Hiring Process
- Document Screening → 1st Interview → 2nd Interview → 3rd Interview → Final Offer
- Candidates who pass the document screening will be contacted individually.
- Additional Coffee Chats or Coding Test may be conducted if necessary.
Work Environment & Support
- Flexible Work Schedule: Adjust your working hours autonomously to match your personal rhythm.
- Equipment & Software Support: We provide job-specific equipment and essential software required for your role.
- Office Amenities: Enjoy our in-office snack bar and coffee machines.
- Holiday & Birthday Gifts: Small gifts are provided for holidays and birthdays.
- Health Checkup Support: We support your well-being through regular health checkups.