QA Automation Engineer

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 seeking a highly motivated Automation Engineer to join our R&D QA team and lead all automation development.

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

Design, develop, and execute automated tests to ensure the quality of our vehicle inspection systems.
Create and own end-to-end test plans, test cases, and test scripts for web, mobile applications and cloud-based algorithms.
Develop and maintain end-points tests automation processes.
Maintain and improve the automation framework to enhance test coverage and efficiency.
Lead cross-team technical discussions on automation strategies, tools, and best practices.
Collaborate with the development team to identify and resolve issues early in the development cycle.

Requirements:

Bachelor of Science in Computer Science, Computer Engineering, or related fields or equivalent experience.
5+ years of experience in QA automation.
Strong proficiency in automated testing tools and frameworks such as Selenium, Playwright, or similar.
Experience with scripting languages such as Python, Node.js, Typescript, etc.
Familiarity with continuous integration and continuous deployment (CI/CD) tools and processes (e.g. Github Actions, Jenkins).
Experience working with cloud providers (AWS, GCP) and cloud services (such as S3, Firebase, EC2, K8s).
Test and implement AI-based testing automation tools for efficiency improvements and coverage enhancement.
Ability to thrive in a dynamic, rapidly changing environment and value end-to-end ownership of projects.

Why UVeye:

Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.

Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.

Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.