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Jobs(26,854)/Senior Software Engineer Role(1,179)/Venti Technologies (20) - Senior System Quality Engineer (System)
Venti Technologies

Venti Technologies - Senior System Quality Engineer (System)

Singapore5mo ago
In OfficeSeniorAPACRoboticsSenior Software EngineerModeRelease ManagementTeam ManagementJiraPython

Requirements

• Strong systems thinking and ability to understand complex integrated software systems. • Experience in system debugging, field issue investigation, software validation or system integration. • Strong analytical and problem-solving skills, debugging mindset. • Familiarity with data pipelines, data ingestion, and daily data processing. • Experience working across cross-functional engineering teams. • Excellent communication and stakeholder management skills. • Robotics , Autonomous Vehicles, or other related systems. • Release management, validation strategy or field reliability. • Project management experience is a bonus. • FMEA/Common Failure Mode Analysis. • SQL, Python, Jira or data visualization tools. • Salary is commensurate with experience. We also offer world-class benefits, fantastic culture, flexible working arrangements, and a great international working environment. Come and join us!

Responsibilities

• System-Level Ownership • Own system behavior across modules (perception, planning, control, etc.) • Understand and manage cross-component dependencies and interfaces • Advanced Triage & Root Cause Analysis • Lead complex issue investigations beyond surface-level triage • Drive root cause analysis across software, data, and system interactions • Ensure high-quality and timely resolution of critical issues • Cross-Functional Coordination • Act as the central point between engineering, testing, and operations teams • Align priorities and drive resolution across multiple stakeholders • System Quality & Process Improvement • Identify systemic issues and recurring patterns • Improve triage workflows, feedback loops, and system robustness • Propose and implement scalable solutions (not just case-by-case fixes) • Data-Driven Decision Making • Use logs, metrics, and field data to diagnose issues and guide improvements • Define KPIs for system performance and triage efficiency • Technical Leadership (Emerging) • Influence system design decisions based on real-world issues • Contribute to architecture discussions and quality strategy

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