Quality Assurance Engineer
Posted 12 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
No salary listed for this role.
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's
About Seoul Robotics
Seoul Robotics builds autonomous driving systems for factories, ports, logistics yards, and airports. We offer two approaches: a vehicle-centric system, where autonomy runs on the vehicle itself, and an infrastructure-centric system, where the site coordinates and drives vehicles. That lets us automate whole operations, not just one vehicle at a time.
We work with global automakers and industry leaders, including BMW, Mercedes-Benz, Nissan, Hyundai, Mitsubishi, Volvo CE, Mando, LG, and SKT. We are expanding quickly across ports, logistics yards, and airports.
We are an international team with members from more than 10 countries. English is our working language.
[Our Story and Technology]
- Powering the Future of Autonomy with LV5 CTRL TWR (YouTube LINK)
- Media (Chosun Biz LINK, PR Newswire LINK)
[Our Principles]
■ Add Value
■ Earn Trust
■ Own Your Job
■ Keep Growing
■ Respect Diversity
Mission of the Role
We are seeking a highly motivated and experienced Software Quality Assurance (QA) Engineer to join our team dedicated to autonomous driving technology. The ideal candidate will have a strong background in software testing, a passion for automotive safety, and a deep understanding of the unique challenges in autonomous systems. You will play a crucial role in ensuring the safety, reliability, and performance of our autonomous driving stack through rigorous testing and validation.
Roles and Responsibilities
- Develop automated test cases for the autonomous driving software stack across perception, prediction, planning, and control modules.
- Develop, maintain, and optimize CI/CD pipelines for automated testing and regression execution.
- Execute manual and automated testing for functional, regression, performance, and edge-case validation.
- Expand test coverage for simulated and real-world scenarios.
- Analyze system logs and reproduce software defects for debugging and root-cause analysis.
- Document test results, defects, and test reports with clarity and precision.