At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector.

With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.

We are looking for a Senior QA Engineer to join our QA R&D team and become an expert in UVeye’s products, ensuring they meet all system requirements and specifications.

A day in the life and how you’ll make an impact:

• Become a key member of the UVeye QA team, gaining deep expertise in our products.
• Lead end-to-end testing for new features and software releases, from Test Plan definition to release execution and post-release monitoring.
• Collaborate with R&D teams (Software & Algorithm) to deliver high-quality features that meet customer expectations.
• Contribute to the design, testing, and execution of automated testing capabilities.
• Participate in Agile development processes using Jira, including daily stand-ups, planning, demos, and retrospectives.
  
  

• B.Sc. in Engineering (Mechanical, Electrical, or a related field).
• 3+ years of experience as a QA engineer working on multi-disciplinary systems.
• Strong interpersonal skills, with the ability to work independently under pressure and tight deadlines.
• Excellent leadership and execution capabilities, proactive mindset, and eagerness to learn.
• Strong system-level understanding, with the ability to analyze situations and prioritize tasks effectively.
• Experience working with Linux OS – an advantage.
• Experience working with Docker, Kubernetes infrastructure
  
  

• Experience with cloud-based products.
• Experience with Automation testing tool (Selenium, Playwright)
• Knowledge of Jira, Confluence, AWS, GitHub.