Seoul Robotics Tech Stack

Infrastructure-based autonomous driving software for logistics

Software Development Seoul 51–200 employees Founded 2017 Privately Held

Seoul Robotics builds autonomous driving software using an infrastructure-centric approach—embedding perception and guidance in roadside systems rather than vehicle-mounted AI. The stack (Python, PyTorch, CUDA, TensorRT, LiDAR) reflects deep computer-vision and real-time inference work. Active projects span 3D perception pipelines, multi-sensor fusion, and CI/CD automation, with recurring pain points around system performance, edge cases, and scaling reliability—typical of companies moving from research prototypes to production logistics deployments.

Tech Stack 13 technologies

Core StackLinux Docker Python C++ PyTorch TensorFlow Bash LiDAR LIDAR CUDA TensorRT Git CMake

What Seoul Robotics Is Building

◆Challenges

System performance bottlenecks
Complex edge cases
System integration challenges
Ensuring safety and reliability of autonomous driving stack
Reliable performance
Reducing variability across logistics sites
Lightweighting deep learning models
Sensor data fusion
Scaling infrastructure-based autonomy solution
Reliable operation of autonomous driving software

▲Active Projects

Automated testing frameworks and ci/cd pipelines
Productize computer vision papers
3d perception pipeline development
Test plans for autonomous driving software stack
Multi-sensor fusion algorithms
Building modular product line for logistics operations
High-performance perception architecture
Ats deployments
Analysis of massive datasets from simulation and real-world testing
Infrastructure-based autonomous driving system implementation

Hiring Activity

Accelerating15 roles · 8 in 30d

Department

Engineering

Research

Seniority

Mid

Senior

Director

Junior

Lead

Notable leadership hires: Research Director

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About Seoul Robotics

Seoul Robotics develops autonomous driving software for industrial logistics, using a differentiated infrastructure-based model where sensors and guidance systems are deployed in the environment rather than solely onboard vehicles. Founded in 2017 and headquartered in Seoul, the company serves global automotive OEMs and logistics operators. The team spans 15+ countries and operates with engineering-dominant hiring (15 roles, mid to senior seniority mix). Current work focuses on perception architecture, dataset analysis from simulation and field testing, and modular product lines for logistics operations.

HeadquartersSeoul

Company Size51–200 employees

Founded2017

Hiring MarketsSouth Korea

Frequently Asked Questions

What is Seoul Robotics' core technology?

Autonomy Through Infrastructure (ATI)—a system that integrates sensors, computers, and software into roadside infrastructure to guide autonomous vehicles, rather than relying solely on vehicle-embedded AI.

What tech stack does Seoul Robotics use?

Python, PyTorch, CUDA, TensorRT, TensorFlow, C++, LiDAR, Docker, and Linux. Focus is on computer vision, real-time inference, and multi-sensor fusion for perception.