Robotics Software Engineer, Navigation

Location: Seoul, Korea

Join the Bear Team!

Bear Robotics awaits you to grow together with the best professionals in each field, becoming the ‘world’s best AI-based mobile platform company’.

Bear Robotics currently has over 200 employees worldwide, working closely together in the US, Korea, Japan, and other countries. We possess excellent technical capabilities in areas such as robot software platform development, swarm control technology, and cloud management solutions. Starting with waiter robots, Bear Robotics supplies approximately 20,000 AI-based service robots to about 20 countries worldwide. The recently introduced AMR (Autonomous Mobile Robot) offers seamless remote autonomous robot movement solutions in logistics processes through its proprietary robot traffic management platform. It boasts competitive advantages in swarm control technology, enabling efficient management of up to 1,000 robots simultaneously in a single space.

Bear Robotics secured $60 million in investment in June 2024 and became a subsidiary of LG Electronics in May 2025 after LG Electronics acquired additional shares and secured management control.

We invite you to contribute to countless innovations and fully realize your potential with Bear Robotics, which will continue to expand globally.

[Key Responsibilities]

• Develop and operate various systems necessary for the operation of autonomous mobile robots
• Research methods for robots to interact with surrounding objects and develop necessary functions
• Conduct advanced research required for next-generation robot platform development

[Required Experience and Qualifications]

• Major in Robotics (Mechanical/Electrical/Computer Science)
• 3+ years of C++/Python development experience or equivalent skill level
• Deep understanding of algorithms, data structures, and operating systems
• Experience working on robotics projects using ROS
• Experience developing in a Linux environment
• Ability to conduct business communication in English

[Preferred Experience and Qualifications]

• Possession of, or imminent acquisition of, a Master's or Ph.D. degree in a relevant field

• Experience and skills in deeply analyzing technical problems and solving them using relevant technical methods

• Experience participating in robotics competitions and robotics conferences

• Familiarity with the Git-based Code Review process

• Experience applying Machine Learning and Deep Learning techniques

• Possess experience in at least one of the following areas:

  • Lidar/Visual SLAM Front-end/Back-end Programming, ROS1/2, Mobile Robot Navigation, Mobile Robot Dynamics Modeling and Control, Machine Learning, Kalman/Particle Filtering, Sensor Fusion, Nonlinear State Estimation, Path Planning (A*, D*, RRT, RRT*, etc.), Trajectory Optimization, Embedded Systems (ARM, RTOS), Gazebo Simulation, Linux System

✔️Hiring Process

• Application Submission
• Resume Screening 👉 If successful, HR or Technical Screening
• Coding Test
• Interview 👉 Peer Interview (3 hours) - Management Interview (1 hour)
• Terms Discussion
• Final Offer

✔️This is how we operate.

✨Welcome to Bear Robotics✨

• Provision of a welcome kit for new employees
• Onboarding sessions for stable employment

✨ We have GOOD HABITS ✨

We strive to maintain good habits and reduce bad ones. For a better 'us' than yesterday!

• We show respect to each other.
• We think from the other person's perspective.
• We learn new things.

✨ We ENJOY WORK ✨

We work to be happy. We create a work environment where everyone finds it interesting to work.

• Flexible start and end times between 8:00 AM and 11:00 AM (8 working hours)
• Meal allowance
• Unlimited snacks
• Organization of internal interest clubs to connect with colleagues

✨ We FOCUS on work ✨

We work efficiently and effectively.

• Support for high-performance laptops, 4K monitors, and peripherals
• RSU operating system, reward system
• Support for English language learning, comprehensive medical check-ups, expense reimbursement, and special occasion leave, maternity leave, childcare leave, group employee accident insurance, etc.