Company Information
• Company: CÔNG TY TNHH MOTOROLA SOLUTIONS VIETNAM R&D CENTER
• Website: https://www.motorolasolutions.com/en_us.html
• Address: L07.01, Tầng 07, Tháp A, Số 15, Đường Trần Bạch Đằng, Phường An Khánh, Thành phố Hồ Chí Minh, Việt Nam
Job Details
• Employment Type: Full-time
• Work Model: On-site
Job Description We are seeking a diligent and detail-oriented QA Engineer to join our R&D team. The successful candidate will be responsible for ensuring the quality and reliability of our model and core engines. You will play a key role in building testing infrastructure, benchmarking models, and defining complex data scenarios to predict how model performance impacts the final product.
Key Responsibilities
• Test Automation Architecture: Design, develop, and optimize scalable automated testing frameworks for core engines. Focus on streamlining model benchmarking, regression suites, and performance profiling.
• Data Engineering for QA: Architect comprehensive data strategies. Define and synthesize complex data contexts and edge-case scenarios required to stress-test ML model robustness.
• End-to-End Risk Analysis: Evaluate model outputs through a product lens. Predict systemic risks and quantify how model variance impacts the final user experience post-integration.
• CI/CD Integration: Seamlessly integrate automated validation gates into the CI/CD pipeline to ensure continuous quality delivery for cloud-connected and embedded components.
• Cross-functional Collaboration: Work closely with Data and Dev teams to triage defects, analyze root causes, and refine model training requirements based on QA insights.
Technical Requirements
• Experience: Minimum 3 years in Software Quality Engineering or Backend Development, with a focus on automation.
• Education: Bachelor’s degree in Computer Science, Machine Engineering, or a related technical field.
• Programming Mastery: Proficient in Python (for automation & ML scripting) and C++ or JavaScript (for engine-level or web-integrated testing).
• Domain Expertise: Solid understanding of AI/ML lifecycles and Computer Vision fundamentals. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and IoT/Robotics environments.
• ML Analytics: Ability to calculate and interpret core metrics (mAP, Precision/Recall, F1-score, etc.) to assess model performance beyond simple "pass/fail" results.
• Toolchain: Proficiency with Git, Jira, TestRail, and modern CI/CD tools (Jenkins, GitLab CI, or GitHub Actions).
Preferred Qualifications
• Proactive Problem Solving: Proven track record of architecting test frameworks from scratch.
• Agile Proficiency: Experience in Scrum/Agile environments with a focus on rapid iteration.
• AI-Driven Productivity: Experience leveraging LLMs or AI-based coding assistants to accelerate test script generation and data synthesis.
• Communication: Ability to translate complex technical risks into actionable insights for non-technical stakeholders.
Contact:
1.Mr Đinh Phong Quang
E-mail; quang.dinh@motorolasolutions.com
phone/zalo: 0912756999
2. Mr. Lý Quốc Ngọc
E-mail: lqngoc@fit.hcmus.edu.vn