- Build your own team, grow and
- Quality strategy for next-generation embedded video and AI systems
About Our Client
Our client is a global technology organization building intelligent, connected systems that combine embedded hardware, AI, and cloud services. With a strong engineering culture and a people-first mindset, the company delivers advanced solutions that operate at scale and in demanding environments.
Job Description
As a QA Automation Technical Manager, you will be responsible for defining and executing the automation vision for embedded video and AI products.
Key responsibilities include:
- Leading, mentoring, and developing a team of QA automation engineers, promoting technical excellence and continuous improvement.
- Designing, implementing, and maintaining automated test strategies and frameworks for embedded AI systems, including both hardware-in-the-loop and software-in-the-loop testing.
- Establishing quality metrics, tracking results, and communicating insights to stakeholders to drive product quality improvements.
- Working closely with embedded software, AI/ML, cloud, and product teams to integrate quality throughout the full software development lifecycle.
- Developing and maintaining automated tests covering functionality, performance, reliability, and security.
- Evaluating, selecting, and rolling out appropriate automation tools, technologies, and best practices.
- Performing root cause analysis of defects and partnering with engineering teams to ensure timely and effective resolution.
- Continuously improving QA processes, methodologies, and standards while staying current with industry trends in automation, embedded systems, and AI.
- Managing priorities, timelines, and deliverables for the QA automation team.
The Successful Applicant
You are a technically strong leader with deep experience in quality automation and embedded systems, and you bring a collaborative, improvementdriven mindset.
You will likely have:
- A bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline (or equivalent practical experience).
- Extensive experience in quality assurance, including several years leading or managing QA automation teams.
- Proven success designing and running automation frameworks for complex software and hardware-based systems.
- Strong programming skills in C++, Python, and JavaScript for test automation across embedded devices, web interfaces, IoT, or robotics platforms.
- Experience testing cloud-connected solutions and integrating automated tests into CI/CD pipelines on major cloud platforms.
- Exposure to AI, machine learning, and computer vision technologies and an understanding of how they impact testing strategies.
- Excellent communication and stakeholder management skills, with the ability to work effectively across technical and non-technical teams.
- A structured, curious, and proactive approach, with the ability to troubleshoot complex issues and operate in an autonomous environment.
What's on Offer
- A senior leadership role with real influence over product quality and engineering direction.
- The opportunity to work on advanced embedded and AI-driven technologies at scale.
- A collaborative, inclusive culture that values learning, ownership, and innovation.
- Competitive compensation, performance-based incentives, and employee referral programs.
Contact: Daniel Nguyen
Quote job ref: JN-022026-6937758
