서울로보틱스 Quality Assurance Engineer

한 줄 요약

서울로보틱스 Quality Assurance Engineer — 서울로보틱스 · Pangyo, Gyeonggido. 현재 상태: 진행·예정.

정보 갱신일 2026-10-21

조건·일정 확인

기관·대학

서울로보틱스

지역·근무지

Pangyo, Gyeonggido

학력

학사 이상

담당 업무

• 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.
• Help define and improve QA processes and methodologies to ensure alignment with industry standards.

지원 자격

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in software quality assurance or testing, with a focus on autonomous driving, robotics, computer networks or telecommunication, or other safety-critical systems.
• Proven experience in designing and executing test cases for complex, real-time software.
• Strong proficiency with Linux operating systems and scripting languages (e.g., Python, Go).
• Demonstrated experience with Docker for containerization and environment management.
• Solid understanding of software development life cycles (SDLC) and QA methodologies.
• Excellent analytical and problem-solving skills with meticulous attention to detail.
• Strong communication and teamwork skills.
• Must be fluent in Korean.

우대 사항

• Experience with safety standards and processes, specifically ISO 21448 (Safety of the Intended Functionality - SOTIF) or ISO 26262 (Functional Safety).
• Familiarity with simulation platforms for autonomous vehicles.
• Experience with vehicle communication protocol, and wireless communication protocols.
• Experience with bug tracking and test management tools (e.g., Jira, TestRail).
• On-field testing experience

공식 출처와 다음 단계

원천 정보 갱신: 2026. 10. 21. PM 5:06

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관련 정보

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