QA Engineer

Posted Yesterday
Be an Early Applicant
Hồ Chí Minh, VNM
Hybrid
Mid level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
We help people be their best in the moments that matter.
The Role
The QA Engineer will design automated testing frameworks, evaluate AI models, integrate testing into CI/CD, and collaborate with development teams to ensure quality and reliability of products.
Summary Generated by Built In
Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department Overview
R&D Test Department. Responsible for evaluating and ensuring the quality of AI products and solutions.
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.

#LI-MM8

#LI-onsite


Basic Requirements

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

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.

  • 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).

  • Able to communicate verbally and written in English language


Travel Requirements
None
Relocation Provided
None
Position Type
Experienced

Referral Payment PlanYes

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

Top Skills

AWS
Azure
C++
GCP
Git
Github Actions
Gitlab Ci
JavaScript
Jenkins
JIRA
Python
Testrail

What the Team is Saying

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The Company
HQ: Chicago, IL
23,000 Employees
Year Founded: 1928

What We Do

About Motorola Solutions | Solving for safer Safety and security are at the heart of everything we do at Motorola Solutions. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations.

Why Work With Us

We are a global family of driven, dynamic people who inspire and support everyone around us to be the best version of themselves. We embrace a “people first” philosophy – and are committed to creating and maintaining a culture of caring and inclusiveness. Are you ready to join our team and be a part of a close-knit community in a big company?

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Motorola Solutions Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We believe that the next big idea can come from anyone, anywhere, at any time. That’s why we offer office-based, hybrid and remote working models, where Motorolans can do their best work wherever they work best.

Typical time on-site: Flexible
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