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- Tasks: Validate AI features and design test automation for cutting-edge video dashcam technology.
- Company: Leading IoT fleet solutions provider with a focus on innovation.
- Benefits: Competitive salary and excellent growth opportunities in a dynamic field.
- Other info: Exciting role in a fast-paced environment with opportunities for professional development.
- Why this job: Join a team enhancing AI reliability and make a real impact in the IoT space.
- Qualifications: 5+ years in QA or systems engineering, with a focus on embedded/IoT and AI/ML.
The predicted salary is between 50000 - 60000 £ per year.
A leading IoT fleet solutions provider is seeking a QA Engineer (AI) to enhance the reliability of their video dashcam platform. The ideal candidate will have a minimum of 5 years in QA or systems engineering, focusing on embedded/IoT devices and AI/ML applications.
This role includes:
- Validating AI features
- Designing test automation
- Running performance tests
Competitive salary and growth opportunities are part of the offering.
AI Quality Engineer for Edge-to-Cloud Fleet AI employer: Xirgo Holdings, Inc
Contact Detail:
Xirgo Holdings, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Quality Engineer for Edge-to-Cloud Fleet AI
✨Tip Number 1
Network like a pro! Reach out to folks in the IoT and AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your QA projects, especially those involving embedded systems or AI/ML. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on common QA methodologies and AI testing strategies. We want to see how you think and solve problems, so be ready to discuss your approach!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace AI Quality Engineer for Edge-to-Cloud Fleet AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in QA and systems engineering, especially with embedded/IoT devices. We want to see how your skills align with the AI features and test automation mentioned in the job description.
Showcase Relevant Projects: Include specific examples of projects where you've validated AI features or designed test automation. This helps us understand your hands-on experience and how you can contribute to our video dashcam platform.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about AI and IoT, and how your background makes you a perfect fit for this role. We love seeing enthusiasm and a personal touch!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Xirgo Holdings, Inc
✨Know Your AI and IoT Stuff
Make sure you brush up on your knowledge of AI, ML, and IoT devices. Be ready to discuss how you've validated AI features in the past and any specific challenges you've faced with embedded systems. This will show that you’re not just familiar with the concepts but have practical experience.
✨Show Off Your Automation Skills
Prepare to talk about your experience with test automation. Bring examples of frameworks or tools you've used to design automated tests, especially in relation to video dashcam platforms or similar technologies. This will demonstrate your hands-on skills and understanding of the QA process.
✨Performance Testing Insights
Be ready to discuss your approach to running performance tests. Think about specific metrics you’ve focused on in previous roles and how you’ve used those insights to improve product reliability. Sharing concrete examples will help you stand out as a candidate who can deliver results.
✨Ask Smart Questions
Prepare thoughtful questions about the company’s current projects and future goals, especially regarding their video dashcam platform. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.